序号 |
应用领域 |
论文文献 |
验证情况 |
医疗领域 |
1 |
人工心脏调节脉压 blood pump control of artificial heart |
[1] Chang Yu, Gao Bin, Gu Kaiyun. A model-free adaptive control to a blood pump based on heart rate. ASAIO Journal, 2011, 57(4): 262-267 [2] Bin Gao. An anti-Suction control for an Intra-Aorta pump using blood assistant index: a numerical simulation. Artificial Organs, 2012, 36(3): 275-282 [3] Kaiyun Gu, Bin Gao, Yu Chang, Yi Zeng. The effect of captopril on the performance of the control strategies of BJUT-II VAD. BioMedical Engineering OnLine. 2016, 15(2): 309-410 [4]谷凯云, 高斌, 常宇, 刘有军, 一种主动脉内血泵血流辅助指数的控制策略, 医用生物力学, 27(4), 2012, pp403-408 |
[1]实验验证 [2]实验验证 [3]实验验证 [4]实验验证
|
2 |
心脏起搏器Implantable Heart Pump |
[1] Masoud Fetanat, Michael Stevens, Christopher Hayward, Nigel H Lovell. A Physiological Control System for an Implantable Heart Pump That Accommodates for Interpatient and Intrapatient Variations. IEEE transactions on bio-medical engineering, 2020, 67(4): 1167-1175 [2] Masoud Fetanat, Michael Stevens, Christopher Hayward, Nigel H Lovell, A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network, IEEE Transactions on Biomedical Engineering, DOI 10.1109/TBME.2021.3061405 |
实验验证 实验验证 |
3 |
内窥镜激光束控制laser beam steering |
Hangjie Mo, Ruofeng Wei, Bo Ouyang, Liuxi Xing, Yanhu Shan,Yunhui Liu, and Dong Sun, Control of a Flexible Continuum Manipulator for Laser Beam Steering, IEEE Robotics and Automation Letters, Vol. 6, No. 2, April 2021 |
实验验证 |
4 |
心电基线漂移抑制 |
朱莉波, 胡锐, 聂欢. 基于无模型自适应控制的心电基线漂移抑制方法. 中国医疗设备, 2018, 33(4): 42-45 |
实验验证 |
5 |
胰岛素注射控制Blood Glucose Control |
Nahid Ebrahimi, Amin Ramezani, Sadjaad Ozgoli. Model Free Sliding Mode Controller for Blood Glucose Control: Towards artificial pancreas without need to mathematical model of the system. Computer Methods and Programs in Biomedicine, 2020. DOI：10.1016/j.cmpb.2020.105663 |
实验验证 |
无线通讯领域 |
6 |
无线接收机灵敏度快速测量Wireless Communication Systems |
Yuan Ma, Xu Wang, Zhi Quan, H. Vincent Poor. Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems. IEEE Transactions on Communications, 2019, 67(5): 3665-3676 |
实验验证 |
7 |
无线通讯带宽滤波器设计Bandpass Filter Design |
Can Pei, Suzhi Bi, and Zhi Quan, Data-Driven Bandpass Filter Design for Estimating, Symbol Rate of Sporadic Signal at Low SNR, IEEE Transactions on Wireless Communications, DOI 10.1109/TWC.2021.3114678 |
实验验证 |
8 |
无线通讯波束跟踪控制 |
Yuan Ma, Silei Ren, Wei Chen, Zhi Quan, Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems without Channel Estimation, IEEE Wireless Communications Letters, DOI 10.1109/LWC.2021.3113911 |
实验验证 |
9 |
无线射频发射功率校准 |
Lianghui Xie, Osama Elnahas, Qinglin Zhao, and Zhi Quan, Data-Driven RF Transmit Power Calibration for Wireless Communication Systems, IEEE Wireless Communications Letters, VOL. 9, NO. 5, MAY, 2020, p721-725 |
实验验证 |
10 |
微波导耦合控制 |
Panbing Wang, Dengfeng Li, Shihui Shen, Yajing Shen. Automatic Microwaveguide Coupling Based on Hybrid Position and Light Intensity Feedback. IEEE/ASME Transactions on Mechatronics, 2019,24(3): 1166-1175 |
实验验证 |
11 |
微波加热过程 |
Liang Shan, Ye Chengyang, Xiong Qingyu, Wang Zhihui, Liu Tong. Model-free adaptive control for microwave heating process with actuator saturation constraint. Journal of Microwave Power and Electromagnetic Energy. 2019, 53(2): 81-39 |
实验验证 |
图像处理领域 |
12 |
图像处理 |
Li Zhihui,Xia Yingji,Qu Zhaowei. Data-driven background representation method to video surveillance. Journal of the Optical Society of America A-Optics Image Science and Vision, 2017,34(2): 193-202 |
实验验证 |
航空航天领域 |
13 |
飞机飞行姿态控制 |
[1] Pengyuan Qi, Xiaowei Zhao. Flight Control for Very Flexible Aircraft Using Model-Free Adaptive Control. Journal of Guidance, Control, and Dynamics, 2019, 43(6): 1-12 [2] V Glasov, E Zybin, V Kosyanchuk. Nonparametric Method for Aircraft Flight Control. IOP Conference Series: Materials Science and Engineering, 2019,47(1). DOI:10.1088/1757-899X/476/1/012011 |
[1]仿真验证 [2]仿真验证 |
14 |
飞行器俯仰轨迹跟踪控制 |
[1] Nan Ji, Dezhi Xu, Fei Liu. Model-free adaptive optimal controller design for aeroelastic system with input constraints. Inter. Journal of Advanced Robotic Systems, 2017, 14(1). DOI: 10.1177/1729881416678138 [2] Alireza Basohbat Novinzadeh, Mohsen Heydari, Mohammadreza Yaseri. Model-free adaptive controller design for nonlinear system of an air vehicle pitch channel, Modares Mechanical Engineering, 2018, 17(11): 161-171 |
仿真验证 |
15 |
翼伞系统轨迹跟踪 |
Zhao Linggong, Weiliang He, Feikai Lv, Xiaoguang Wang. Trajectory Tracking Control for Parafoil Systems Based on the Model-Free Adaptive Control Method. IEEE Access, 2020, 8: 152620-152636 |
仿真验证 |
16 |
无人直升机航向控制 |
Dezhi Xu, Hongcheng Zhou. Enhanced data driven mode-free adaptive yaw control of UAV helicopter. International Journal of Instrumentation and Control Systems, 2015, 5(4): 13-25 |
实验验证 |
17 |
直升机姿态控制 |
Zhi-Chang Qin, Ying Xin, J. Q. Sun. Dual-Loop Robust Attitude Control for an Aerodynamic System With Unknown Dynamic Model: Algorithm and Experimental Validation. IEEE Access, 2020, 8: 36582-36594 |
实验验证 |
18 |
飞机防滑刹车 |
时伟, 刘文胜, 陈建群. 无模型自适应控制在飞机防滑刹车中的应用. 计算机测量与控制, 2012, 20(6): 1152-1154 |
仿真验证 |
19 |
航天器 姿态控制 |
[1] 张宪亮, 宋婷, 阳光, 贺亮, 袁建平, 郝田蔚. 组合体航天器的姿态无模型自适应控制. 哈尔滨工业大学学报, 2018, 50(10): 104-109 [2] Han Gao, Guangfu Ma, Yueyong Lv, Yanning Guo. Forecasting-based data-driven model-free adaptive sliding mode attitude control of combined spacecraft. Aerospace Science and Technology, 2019, 86(MAR.): 364-374 [3] Han GAO, Guangfu MA, Yueyong LYU, Yanning GUO. Data-driven model-free adaptive attitude control of partially constrained combined spacecraft with external disturbances and input saturation. Chinese Journal of Aeronautics, 2019, 32(5): 1281-1293 |
[1]仿真验证 [2]仿真验证 [3]仿真验证 |
飞行器控制 |
20 |
双旋翼气动系统 |
[1] Mircea-Bogdan Radac, Raul-Cristian Roman, Radu-Emil Precup, Emil M. Petriu. Data-driven model-free control of twin rotor aerodynamic systems: algorithms and experiments. 2014 IEEE International Symposium on Intelligent Control (ISIC), Juan Les Pins, 2014, pp. 1889-1894 [2]Raul-Cristian Roman, Mircea-Bogdan Radac, Radu-Emil Precup. Alexandra-Iulia Szedlak-Stinean. Two data-driven control algorithms for a mimo aerodynamic system with experimental validation. 2015 19th International Conference on System Theory, Control and Computing (ICSTCC),, Cheile Gradistei, Romania, 2015, pp. 736-741 |
[1]实验验证 [2]实验验证 |
21 |
四旋翼飞行器姿态控制 |
[1] Shida Liu, Zhong-Sheng Hou, Jian Zheng. Attitude adjustment of quadrotor aircraft platform via a data-driven model free adaptive control cascaded with intelligent PID. 2016 Chinese Control and Decision Conference (CCDC), Yinchuan,China, 2016, pp. 4971-4976 [2] 余威,卜旭辉. 四旋翼无模型自适应抗干扰姿态控制器设计. 电子测量与仪器学报, 2019, 33(07): 166-172 |
[1]实验验证 [2]仿真验证 |
22 |
倾转旋翼 飞行器 |
[1] 夏青元，徐锦法，张梁. 倾转旋翼飞行器无模型自适应姿态控制. 系统工程与电子技术, 2013, 35(1): 146-151 [2] 杨龙飞,王琦,王蓉,郑光廷,陈龙胜.一种基于粒子群寻优的无模型自适应控制方法. 航空兵器, 2020. DOI: 10.12132/ISSN.1673-5048.2020.0084 [3] Xun Gu, Bin Xian, Jieqi Li, Model free adaptive control design for a tilt trirotor unmanned aerial vehicle with quaternion feedback: Theory and implementation, Int J Adapt Control Signal Process. 2021. DOI: 10.1002/acs.3344 |
[1]仿真验证 [2]仿真验证 [3]实验验证 |
23 |
固定翼飞行器姿态控制 |
[1] Shulong Zhao, Xiangke Wang, Daibing Zhang, Lincheng Shen. Model-free fuzzy adaptive control of the heading angle of fixed-wing unmanned aerial vehicles. Journal of Aerospace Engineering, 2017, 30(4): 1-9 [2] Meili Chen, Yuan Wang. Data-Driven Adaptive Method for Attitude Control of Fixed-Wing Unmanned Aerial Vehicles. Advances in Aerospace Science and Technology, 2019, 04(1):1-15 |
[1]实验验证 [2]仿真验证 |
24 |
扑翼飞行器 |
[1] MahdiKhosravi, A.B.Novinzadeh, A multi-body control approach for flapping wing micro aerial vehicles, Aerospace Science and Technology, https://doi.org/10.1016/j.ast.2021.106525. 112 (2021) 106525 [2] Tianhe Wang; Shangtai Jin; Zhongsheng Hou, Model Free Adaptive Pitch Control of a Flapping Wing Micro Aerial Vehicle with Input Saturation, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS), November 20-22, 2020, Liuzhou, China. 627-632 |
[1]仿真验证 [2]仿真验证 |
|
25 |
涡扇发动机 |
管庭筠,李秋红.基于改进无模型自适应算法的涡扇发动机限制保护控制方法. 推进技术, 2020, 41(10):2348-2357 |
仿真验证 |
26 |
航空发动机 |
[1] 史东烨, 缑林峰. 航空发动机无模型自适应生物智能控制方法研究. 计算机测量与控制, 2016, 24(10): 104-107 [2] Xiao-Yu Liu, Xi-Ming Sun, Yong-Liang Zhang, Xue-Fang Wang. An Improved Model-Free Adaptive Control Algorithm and the Application in Aero-engines. 2020 39th Chinese Control Conference (CCC), Shenyang, China, 2020, pp. 1940-1945 |
[1]仿真验证 [2]仿真验证 |
27 |
燃气轮机 |
Aidong Xu, Yangbo Zheng, Haibin Yu. Research on the application of model free adaptive (MFA) control in gas turbine. In 9th International Conference on Electronic Measurement & Instruments, Beijing, China, 2009, pp. 3902-3908 |
仿真验证 |
机器人领域 |
28 |
直流电机驱动的机器人系统 |
C. Treesatayapun. Prescribed performance of discrete-time controller based on the dynamic equivalent data model. Applied Mathematical Modelling, 2020, 78: 366-382 |
实验验证 |
29 |
轮式机器人路径跟踪 |
[1] 宋立博, 李劲松. 轮式移动机器人嵌入式自适应控制器设计与仿真. 控制理论与应用, 2012, 29(9): 1146-1150 [2] Chun-Chi Lai, Chia-Jen Lin, Kuo-Hsien Hsia, Kuo-Lan Su. Apply Model-Free Adaptive Control Approach for Mobile Robot Path Following. Proceedings of International Conference on Artificial Life and Robotics, 2020, 25: 122-125 [3]侯明冬,王印松. 轮式移动机器人的数据驱动轨迹跟踪滑模约束控制. 控制与决策, 2020, 35(06): 1353-1360 |
[1]实验验证 [2]实验验证 [3]仿真验证 |
30 |
6自由度机器臂控制 |
Kunming Zheng, Hu Youmin, Bo Wu. Model-free development of control systems for a multi-degree-of-freedom robot. Mechatronics, 2018, 53: 262-276 |
实验验证 |
31 |
多自由度外骨骼机器人 |
[1] Xiaofeng Wang, Xing Li, Jianhui Wang, Xiaoke Fang. Data-driven model free adaptive sliding mode control for the multi degree-of freedom robotic exoskeleton. Information Sciences, 2016, 327: 246-257 [2] Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang, Hongmei Li. Model-Free Adaptive Sliding Mode Robust Control with Neural Network Estimator for the Multi-Degree-of-Freedom Robotic Exoskeleton. Complexity, 2020, DOI：10.1155/2020/8327456 [3] Xuechao Qiu, Changchun Hua, Jiannan Chen, Liuliu Zhang, Xinping Guan. Model-free adaptive iterative sliding mode control for a robotic exoskeleton trajectory tracking system. International Journal of Systems Science, 2020, 51(10): 1782-1797 [4] Nahid Ebrahimi , Sadjaad Ozgoli & Amin Ramezani, Model-free high-order terminal sliding mode controller for Lipschitz nonlinear systems. Implemented on Exoped® exoskeleton robot, International Journal of Systems Science, DOI:10.1080/00207721.2020.1853848, 2021 |
[1]仿真验证 [2]仿真验证 [3]仿真验证 |
32 |
下肢假肢机器人运动控制 |
赵晓东,刘作军,苟斌,杨鹏. 下肢假肢斜坡路况运动控制策略分析. 控制与决策, 2019, 34(06): 1160-1168 |
实验验证 |
33 |
机器人膝关节外骨骼 |
[1] 张燕,王建宙,李威,王婕,陈玲玲,杨鹏. 基于数据驱动的膝关节外骨骼控制.浙江大学学报(工学版), 2019, 53(10): 2024-2033 [2] Yan Zhang, Jianzhou Wang, Wei Li, Jie Wang. A model-free control method for estimating the joint angles of the knee exoskeleton. Advances in Mechanical Engineering, 2018, 10(10). DOI: 10.1177/1687814018807768 |
[1]仿真验证 [2]仿真验证 |
34 |
机器人末端针状执行器应力预测 |
Meenakshi Narayan, Ann Majewicz Fey. Developing a novel force forecasting technique for early prediction of critical events in robotics. Plos One, 2020. DOI：10.1371/journal.pone.0230009 |
实验验证 |
35 |
手腕康复机器人 |
Shahid Hussain, P.K. Jamwal, Paulette van Vliet, Mergen H. Ghayesh. State-of-the-Art Robotic Devices for Wrist Rehabilitation: Design and Control Aspects. IEEE Transactions on Human-Machine Systems, 2020, 50(5): 361-372 |
实验验证 |
36 |
气动肌肉群驱动与气动机器人 |
[1] 刘昱, 王涛, 范伟, 王渝. 气动肌肉群驱动球关节机器人的无模型自适应控制. 机器人, 2013, 35(2): 129-134 [2] Qingsong Ai, Da Ke, Jie Zuo, Wei Meng, Quan Liu, Zhiqiang Zhang, Sheng Q. Xie. High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence. IEEE Transactions on Industrial Electronics, 2020, 67(11): 9548-9559 [3] Yi Li, Quan, Liu, Wei Meng, Yuanlong Xie. Xie. MISO Model Free Adaptive Control of Single Joint Rehabilitation Robot Driven by Pneumatic Artificial Muscles. 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA, 2020, pp. 1700-1705 [4] Fei Meng, Yueyong Lv, Guangfu Ma, Yunfei Zhu. A Model-free Adaptive Controller for Biomimetic Pneumatically Actuated Continuum Manipulators. 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur, Malaysia, 2018, pp. 1706-1711 [5] 任丽娜, 李小广, 高琳琪, 刘福才, 气动加载系统的无模型自适应控制方法, 高技术通讯, 2020, 30(4), 409-414 |
[1]实验验证 [2]实验验证 [3]实验验证 [4]仿真验证 |
37 |
柔性机器人 |
[1] 陈星,郝矿荣,丁永生. 多气囊柔性试衣机器人的视觉伺服控制仿真.计算机仿真, 2014, 31(10): 381-385 [2] FengJun Hu, JianWei Lin, HanJie Gu, Antonio Lazaro. Dynamic Linear Predictive Optimization of Flexible Robot Profiling MFA Model. Hindawi Journal of Sensors, 2019. DOI:10.1155/2019/6739643 |
仿真验证 仿真验证 |
38 |
水下机器人轨迹跟踪控制 |
[1] Li Xiaohan, Ren Chao, Ma Shugen, Zhu Xinshan. Compensated model-free adaptive tracking control scheme for autonomous underwater vehicles via extended state observer. Ocean Engineering. 2020(217). DOI：10.1016/j.oceaneng.2020.107976 [2] Hongjia Li, Bo He, Qingqing Yin, Xiaokai Mu, Jiaming Zhang, Junhe Wan, Dianrui Wang,Yue Shen. Fuzzy Optimized MFAC Based on ADRC in AUV Heading Control. Electronics, 2019, 8(6):608-640. [3] QuanQuan Jiang, Heading control of unmanned surface vehicle with variable output constraint model-free adaptive control algorithm, ACCESS, DOI: 10.1109/ACCESS.2017 [4] Yulei Liao, Quanquan Jiang, Tingpeng Du, and Wen Jiang, Redefined Output Model-Free Adaptive Control Method and Unmanned Surface Vehicle Heading Control, IEEE Journal of Oceanic Engineering, DOI: 10.1109/JOE.2019.2896397 [5] Quanquan Jiang, Yulei Liao , Ye Li , Yugang Miao, Wen Jiang and Changsheng Cheng, Unmanned surface vessel heading control of model-free adaptive method with variable integral separated and proportion control, International Journal of Advanced Robotic Systems, May-June 2019: 1–8 [6] Quanquan Jiang, Ye Li, Yulei Liao, Yugang Miao, Wen Jiang, Haowei Wu, Information fusion model-free adaptive control algorithm and unmanned surface vehicle heading control, Applied Ocean Research, 90 (2019) 101851 [7] Liao Yulei, Du Tingpeng, Jiang Quanquan, Model-free adaptive control method with variable forgetting factor for unmanned surface vehicle control, Applied Ocean Research 93 (2019) 101945 [8] YongpengWeng and NingWang, Data-driven robust backstepping control of unmanned surface vehicles, Int J Robust Nonlinear Control. 2020;1-15. |
仿真验证 实验验证 |
39 |
变电站巡检机器人 |
[1] 王建邦,袁智勇,陈波,陈浩敏,杨占杰,任超. 变电站巡检机器人数据驱动无模型自适应控制.电测与仪表,2019,56(19):114-120 [2] 陈浩敏，姚森敬，席禹，张凡，辛文成，任超，基于数据驱动的变电站巡检机器人自抗扰控制，信息与控制，2021，50（4），p385-389 |
仿真验证 仿真验证 |
40 |
脑机接口辅助控制器 |
Hongguang Pan, Wenyu Mi, Mei Wang, Jinggao Sun. The auxiliary controller design based on model-free control in the brain-machine interface. 2018 Chinese Control And Decision Conference (CCDC), Shenyang,China,2018, pp. 3578-3583. |
仿真验证 |
机械手（臂） |
41 |
机械手运动控制 |
[1] Lei Liu, Zhanshan Wang, Huaguang Zhang. Data-based adaptive fault estimation and fault tolerant control for MIMO model-free systems using generalized fuzzy hyperbolic model. IEEE Transactions on Fuzzy Systems, 2018,26(6):3191-3205 [2] Ziqiao Zhang, Songyi Dian. Motion Control of Manipulators Based on Model-free Adaptive Control. IOP Conference Series: Materials Science and Engineering, 2018,428(1). DOI: 10.1088/1757-899X/428/1/012051. |
[1]仿真验证 [2]仿真验证 |
42 |
全方位移动机械手控制 |
Chao Ren, Jingyi Zhang, Wei Li, Shugen Ma. Data-driven Model Free Adaptive Control for an Omnidirectional Mobile Manipulator Using Neural Network. 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA, 2020, pp. 1002-1007 |
实验验证 |
43 |
空间机械手 |
Wen Yintang, Gao Linqi, Liu Fucai, Qin Li. Model-free adaptive control of space manipulator under different gravity environment. High Technology Letters,2020,26(01):53-60 |
仿真验证 |
44 |
并联机械手跟踪控制 |
Wei Li, Chao Ren, Longhai Wang, Yutong Ding, Shugen Ma, Xinshan Zhu. Trajectory Tracking Control of a Parallel Drive Manipulator Based on Model Free Adaptive Control, 2019 Chinese Control Conference (CCC), Guangzhou, China, 2019, pp. 4661-4666 |
实验验证 |
45 |
多自由度机械臂 |
[1] 吴浩楠,胡立坤,陈果,阳兰,朱紫阳. 六自由度机械臂无模型自适应滑模控制. 广西大学学报(自然科学版), 2019, 44(02): 387-395 [2] Chidentree Treesatayapun. Data input-output adaptive controller based on IF-THEN rules for a class of non-affine discrete-time systems: The robotic plant. Journal of Intelligent & Fuzzy Systems, 2015,28(2): 661–668 [3] Chidentree Treesatayapun. Discrete-time adaptive controller for unfixed and unknown control direction,. IEEE Transactions on Industrial Electronics, 2018,65(7):5367-5375 [4] Chidentree Treesatayapun. Discrete-time adaptive controller based on IF-THEN rules database for novel architecture of ABB IRB-1400. Journal of the Franklin Institute,2020, 357(8):4834-4854 [5] Josue Gomez, Chidentree Treesatayapun, and America Morales, Data-driven identification and control based on optic tracking feedback for robotic systems, The International Journal of Advanced Manufacturing Technology, https://doi.org/10.1007/s00170-020-06377-5 |
[1]仿真验证 [2]实验验证 [3]实验验证 [4]实验验证 [5]实验验证 |
46 |
假肢手抓握力控制系统 |
周恩至,张翼,邓华. 肌电假肢手抓握力控制系统的设计与实现.传感器与微系统，2020, 39(09):94-96+100. |
实验验证 |
47 |
仿生腕关节 |
Hui Yang, Xifeng Gao, Yang Chen, Lina Hao. Hammerstein Adaptive Impedance Controller for Bionic Wrist Joint Actuated by Pneumatic Muscles. IEEE Access, 2018, 7: 47-56 |
实验验证 |
48 |
充气机械臂 |
XueAi Li, Kui Sun, Chuangqiang Guo, Hong Liu, Hybrid adaptive disturbance rejection control for inflatable robotic arms, ISA Transactions, https://doi.org/10.1016/j.isatra.2021.08.016 |
实验验证 |
电机领域 |
49 |
伺服电机 |
[1] 周同,白国振,高超,冯春花. 数据驱动ANN的SISO开环稳定系统控制.电力科学与工程,2019,35(02):55-62 [2] Jun-Sheng Wang, Guang-Hong Yang. Data-Driven Output-Feedback Fault-Tolerant Tracking Control Method and Its Application to a DC Servo System. IEEE/ASME Transactions on Mechatronics,2019,24(3):1186-1196 |
实验验证 实验验证 |
50 |
直流电机速度控制 |
[1] 庞中华,马标,宋文太,刘国平. 一种改进的紧格式无模型自适应控制方法.控制与决策, 2019. DOI：10.13195/j.kzyjc.2019.0635 [2] 曹荣敏,梁云,柏森. 基于数字滤波的非参数模型直流调速系统. 制造业自动化, 2007, 29(2): 49-51 |
[1]实验验证 [2]仿真验证 |
51 |
有刷直流电机电流控制 |
[1] Chidentree Treesatayapun. A data-driven adaptive controller for a class of unknown nonlinear discrete-time systems with estimated PPD. Engineering Science and Technology, an International Journal, 2015, 18(2): 218-228 [2] C. Treesatayapun. Prescribed performance of discrete-time controller based on the dynamic equivalent data model. Applied Mathematical Modelling, 2020, 78: 366-382 |
[1]实验验证 [2]实验验证 |
52 |
无刷直流电机换相控制 |
[1] 史婷娜,李聪,姜国凯,夏长亮. 基于无模型预测控制的无刷直流电机换相转矩波动抑制策略. 电工技术学报, 2016, 31(15): 54-61 [2] Haitao Li, Shiqiang Zheng, Hongliang Ren. Self-correction of commutation point for high-speed sensorless BLDC motor with low inductance and nonideal back emf. IEEE Transactions on Power Electronics, 2017,32(1):642-651 |
[1]实验验证 [2]实验验证 |
53 |
直线电机位置控制 |
[1] 曹荣敏,侯忠生. 直线电机的非参数模型直接自适应预测控制. 控制理论与应用, 2008, 25 (3):587-590 [2] Ronghu Chi,Zhongsheng Hou,Shangtai Jin,Biao Huang, An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(4): 687-696 |
[1]仿真验证 [2]实验验证 |
54 |
感应电机速度控制 |
[1] Dezhi Xu,Xiaoqi Song,Bin Jiang,Weilin Yang,Wenxu Yan. Data-driven Sliding Mode Control for MIMO systems and Its Application on Linear Induction Motors. International Journal of Control, Automation and Systems, 2019, 17(7): 1717-1725 [2] Xiaoqi Song,Dezhi Xu,Weilin Yang,Yan Xia,Bin Jiang,Tarek Ahmed-Ali. Improved Model-Free Adaptive Sliding-Mode-Constrained Control for Linear Induction Motor considering End Effects. Mathematical Problems in Engineering, 2018. DOI:10.1155/2018/4341825 [3] Dezhi Xu, Xiaoqi Song, Wenxu Yan, Bin Jiang, Model-free adaptive command-filtered-backstepping sliding mode control for discrete-time high-order nonlinear systems, Information Sciences 485 (2019) 141–153 [4] Dezhi Xu , Weiming Zhang , Peng Shi , and Bin Jiang, Model-Free Cooperative Adaptive Sliding-Mode-Constrained-Control for Multiple Linear Induction Traction Systems, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2019.2913983 |
[1]仿真验证 [2]仿真验证 |
55 |
永磁直线电机 |
[1] 曹荣敏,周惠兴,梁文宇,朱涛. 基于CSPACE 的直线电机实时仿真控制系统研究实现. 制造业自动化, 2009, 31(12): 81-84 [2] Jianhui Zhu,Jianguo Dai,Cheng Wang,Yuqing Wu. Model-free adaptive control of direct drive servo valve of electromagnetic linear actuator. Mathematical Problems in Eng., 2018. DOI:10.1155/2018/7105872 [3] 曾子强,曹荣敏,侯忠生,周惠兴. 二维直线电机的多入多出无模型自适应轮廓控制. 控制理论与应用, 2020, 37(05):1007-1017 |
实验验证 实验验证 实验验证 |
56 |
绕线转子同步电机电流控制 |
[1] Saeid Aghaei Hashjin, Adrien Corne, Shengzhao Pang, Karim Ait-Abderrahim, El-Hadj Miliani,Babak Nahid-Mobarakeh. Current Sensorless Control for WRSM Using Model Free Adaptive Control. IEEE Transactions on Transportation Electrification, VOL. 7, NO. 2, JUNE 2021, 683-693. DOI: 10.1109 /TTE.2020.3030111 [2] Saeid Aghaei Hashjin,Shengzhao Pang,El-Hadj Miliani,Karim Ait-Abderrahim,Babak Nahid-Mobarakeh, Data-Driven Model-Free Adaptive Current Control of a Wound Rotor Synchronous Machine Drive System. IEEE Transactions on Transportation Electrification, 2020, 6(3):1146-1156 |
[1]实验验证 [2]实验验证 |
57 |
永磁同步电机速度控制 |
[1] 蒋学程,彭侠夫,何栋炜. 永磁同步电机模型自适应补偿速度控制. 电机与控制学报. 2011, 15(10): 69-74 [2] Yang Zhao, Xudong Liu, Haisheng Yu Jinpeng Yu. Model-free adaptive discrete-time integral terminal sliding mode control for PMSM drive system with disturbance observer. IET Electric Power Applications,2020, 14(10):1756-1765 |
[1]实验验证 [2]实验验证 |
58 |
永磁同步机直接推力控制 |
崔皆凡,闫红,单宝钰. 永磁直线同步电机无模型自适应直接推力控制. 组合机床与自动化加工技术, 2013, 6: 47-49+53 |
仿真验证 |
59 |
永磁同步电机电流控制 |
[1] Xin Yuan, Shuo Zhang, Chengning Zhang. Nonparametric Predictive Current Control for PMSM. IEEE Transactions on Power Electronics, 2020, 35(9) :9332-9341 [2] Xingu Yuan,Wei Zhang,Xinbing Wu. A New Design of PMSM Robust Current Controller Based on Model-Free Adaptive Control Strategy. 2019 IEEE 4th International Future Energy Electronics Conference (IFEEC), Singapore, Singapore, 2019, pp. 1-5 [3] Yanan Zhou, Hongmei Li, Hongyang Yao. Model-free control of surface mounted PMSM drive system. IEEE International Conference on Industrial Technology, Taipei, 2016, pp. 175-180 [4] Treesatayapun, Output Feedback Controller for a Class of Unknown Nonlinear Discrete Time Systems Using Fuzzy Rules Emulated Networks and Reinforcement Learning, Fuzzy Information and Engineering, DOI: 10.1080/16168658.2021.1943887, 2021 |
[1]实验验证 [2]仿真验证[3]实验验证 [4]实验验证 |
60 |
超声波电机速度控制 |
[1] Sisi Di, Huafeng Li. Model free adaptive speed control on the travelling wave ultrasonic motor. Journal of Electronic Eng., Taipei, 2018, 69(1):14-23 [2] 孙阳,狄思思,李华峰.超声波电动机无模型自适应速度控制研究. 微特电机, 2020, 48(12): 1-5 |
[1]仿真验证 [2]仿真验证 |
61 |
多电机协调控制 |
刘国海,陈仁杰,张多,周华伟. 两电机调速系统的神经网络逆无模型自适应鲁棒解耦控制. 中国电机工程学报, 2019,39(03):868-874+965 |
实验验证 |
62 |
PWM技术驱动的电机 |
Chidentree Treesatayapun. Stabilized adaptive controller based on direct IF–THEN knowledge of electronic systems for PWM drivers. Electr. Eng, 2016, 98(1): 77-85 |
实验验证 |
发电机 |
63 |
同步发电机励磁系统 |
[1] 王桂艳,施伟锋,张威. 同步发电机励磁系统的无模型控制研究. 船电技术, 2015, 35(7): 76-80 [2] Jingcai Bai,Junxiao Wu,Guozhu Wang,Yongtao Hu. Generator Excitation Control Method based on Iterative Learning Control with Initial State Learning and Model-free Adaptive Grey Prediction Control. Journal of Engineering Science and Technology Review, 2018,11(4):31-39 |
[1]仿真验证 [2]实验验证 |
64 |
双馈感应发电机 |
Mohamed I. Mosaad, Ahmed Alenany, Ahmed Abu-Siada. Enhancing the performance of wind energy conversion systems using unified power flow controller. IET Generation, Transmission & Distribution,2020, 14(10):1922-1929 |
仿真验证 |
65 |
发电机阻尼控制 |
[1] Yi Zhao,Chao Lu, Peng Li, Liang Tu. Applications of wide-area adaptive HVDC and generator damping control in Chinese power grids. 2016 IEEE Power and Energy Society General Meeting, Boston, MA, 2016, pp. 1-5 [2] Xingyu Shi, Yijia Cao, Yong Li, Junjie Ma, Mohammad Shahidehpour, Xi Wu, Zhiyi Li，Data-driven model-free adaptive damping control with nknown control direction for wind farms，Electrical Power and Energy Systems，123 (2020) 106213 [3] Mohamed I. Mosaad, Ahmed Alenany, Ahmed Abu-Siada, Enhancing the performance of wind energy conversion systems using unified power flow controller, IET Gener. Transm. Distrib., 2020, Vol. 14 Iss. 10, pp. 1922-1929 [4] Xingyu Shi, Yijia. Cao, Mohammad Shahidehpour, Yong Li, Xi Wu, and Zhiyi Li, Data-Driven Wide-Area Model-Free Adaptive Damping Control with Communication Delays for Wind Farm, IEEE Transactions on Smart Grid, DOI 10.1109/TSG.2020.3001640 |
实验验证 实验验证 |
66 |
主动分布式发电机控制 |
Yanda Huo, Peng Li, Haoran Ji, Jinyue Yan, Guanyu Song, Jianzhong Wu, Chengshan Wang，Data-driven Adaptive Operation of Soft Open Points in Active Distribution Networks，IEEE Transactions on Industrial Informatics，DOI 10.1109/TII.2021.3064370 |
实验验证 |
风力、火力、热力、水电发电领域 |
67 |
风电静力加载解耦控制 |
张磊安,乌建中,陈州全,王伟达. 兆瓦级风电叶片静力加载控制系统设计及试验. 中国机械工程, 2011, 22(18): 2182-2185. |
现场应用验证 |
68 |
静液压风力涡轮机 控制 |
[1] 鲁效平,李伟,林勇刚. 基于无模型自适应控制器的风力发电机载荷控制, 农业机械学报, 2011,42(02) :109-114 [2] Shuyue Lin, Pengyuan Qi, Xiaowei Zhao. Power generation control of a hydrostatic wind turbine implemented by model-free adaptive control scheme. Wind Energy, 2020,23(4):849-863 |
仿真验证 仿真验证 |
69 |
风能转换系统控制 |
徐莉莉,沈艳霞,纪志成. 基于数据的风能转换系统自适应控制, 微特电机, 2011,39(09):62-65 |
仿真验证 |
70 |
风场子同步补偿 |
Xi Wu, Mengting Wang, Mohammad Shahidehpour, Shuang Feng, and Xi Chen，Model-Free Adaptive Control of STATCOM for SSO Mitigation in DFIG-based Wind Farm，IEEE Transactions on Power Systems， DOI 10.1109/TPWRS.2021.3082951, |
|
71 |
热电厂烟气脱硝系统 |
顾志国,孙阳阳,钟祎勍,姚国鹏. 带死区的无模型自适应控制. 热力发电, 2015, 44(10):86-90 |
仿真验证 |
72 |
火电厂主蒸汽压力串级控制 |
Feng Yu-chang, Shi Dong-lin. Model free adaptive predictive control for main stream pressure system of power plant. Energy Procedia, 2012,17(2):1682-1688 |
仿真验证 |
73 |
火电厂机组单元协调控制 |
[1] 许伟强,张方,刘淼,韩璞. MIMO离散时间非线性系统MFAPC. 计算机仿真, 2016, 33(8): 116-120 [2] 段峻,张磊. 火电单元机组无模型自适应控制方法研究. 制造业自动化, 2011, 33(6):150-152 |
[1]仿真验证 [2]仿真验证 |
74 |
风力发电俯仰控制 |
[1] Jianshen Li, Shuangxin Wang and Yaguang Li, A model-free adaptive controller with tracking error differential for collective pitching of wind turbines, Renewable Energy, 161, 435-447, 2020 [2] Juan Li, Yinan Wang, Xiaowei Zhao, Pengyuan Qi, Model free adaptive control of large and flexible wind turbine rotors with controllable flaps, Renewable Energy, 180 (2021) 68-82 |
仿真验证 仿真验证 |
75 |
水电机组发电控制 |
鄢 波，李超顺，徐教锋，李永刚，吴道平，赖昕杰，侯进皎，大型水电机组调节系统无模型自适应ＰＩＤ控制器设计，水 电 能 源 科 学，Vol. 38, No. 11, p145-159，2020 |
仿真验证 |
电网系统 |
76 |
微电网 |
[1] Huaguang Zhang, Jianguo Zhou, Qiuye Sun, Josep M. Guerrero, Dazhong Ma. Data-driven control for interlinked ac/dc microgrids via model-free adaptive control and dual-droop control. IEEE Transactions on Smart Grid, 2017,8(2):557-571 [2] Yong Shi,Sunan Hu,Lei Chen,Kun Ma. Secondary Frequency Control for Islanded MG Based on Model-free Adaptive Control. 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE), Chengdu, China, 2020, pp. 612-616 [3] Dezhi Xu,Weiming Zhang,Bin Jiang;Peng Shi,Shuoyu Wang, Directed-Graph-Observer-Based Model-Free Cooperative Sliding Mode Control for Distributed Energy Storage Systems in DC Microgrid. IEEE Transactions on Industrial Informatics,2020,16(2) :1224-1235 [4] 胡苏南,施永,王新颖.基于数据驱动的孤岛微网自适应调频策略. 电源学报, 2020,18(06):5-11 |
[1]实验验证 [2]仿真验证 [3]仿真验证 [4]仿真验证 [5]仿真验证 |
77 |
交直流配电网变换器控制 |
刘许亮,朱焕立. 交直流配电网中VSC无模型自适应控制器. 中国电力, 2016, 49(09): 46-50 |
仿真验证 |
78 |
配电网多状态开关 |
张今,耿光超,江全元,杨勇,周自强.含柔性多状态开关的配电网分布式自适应控制.电网技术, 2020, 44(07): 2649-2656 |
仿真验证 |
79 |
互联电网AGC |
黄伟峰,姚建刚,韦亦龙,刘苏,汤成艳. 无模型自适应控制算法在互联电网AGC中的应用. 电力系统及其自动化学报, 2016, 28(4): 78-84 |
仿真验证 |
80 |
分区电力系统二次电压控制 |
Yi Zhao, Chao Lu. An Adaptive Coordinated Secondary Voltage Control with PMU Data. 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5 |
仿真验证 |
81 |
广域电力系统稳定器 |
[1] Chao Lu, Yi Zhao, Kun Men, Liang Tu, Yingduo Han. Wide-area power system stabiliser based on model-free adaptive control. IET Control Theory Appl. 2015, 9(13): 1996-2007 [2] Yasin Asadi, Malihe Maghfoori Farsangi, Ehsan Bijami, Ali Moradi Amani, Kwang Y. Lee, Data-driven adaptive control of wide-area non-linear systems with input and output saturation: A power system application, Electrical Power and Energy Systems 133 (2021) 107225 |
仿真验证 仿真验证 |
道路交通领域 |
82 |
高速公路匝道控制 |
[1] Ronghu Chi and Zhongsheng Hou, model free adaptive control approach for freeway traffic density via ramp metering. IEEE/CAA Journal of Automatica Sinica (JAS),2008,4(11) :2823-2832 [2]侯忠生 晏静文，带有迭代学习前馈的快速路无模型自适应入口匝道控制，自动化学报，35(5), 588-595, 2009. [3]Chi Ronghu and Hou Zhongsheng, A model-free periodic adaptive control for freeway traffic density via ramp metering, Acta Automatica Sinica, 2010, 36(7), 1029-1032 |
[1]仿真验证 [2]仿真验证 [3]仿真验证 |
83 |
交叉口交通控制 |
郭海锋,程君,方良君,彭起涛. 短时预测下的单点交叉口无模型自适应控制方法. 中国公路学报, 2014, 27(12): 88-95 |
实验验证 |
84 |
城市交通系统边界控制 |
[1] Ting Lei, Zhongsheng Hou and Ye Ren. Data-Driven Model Free Adaptive Perimeter Control for Multi-Region Urban Traffic Networks With Route Choice. IEEE Transactions on Intelligent Transportation Systems, 2010, 21(7):2894-2905 [2] Dai Li and Bart De Schutter, Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks, IEEE Transactions On Control Systems Technology, https://doi.org/10.1109/TCST.2021.3059460. [3] Zhongsheng Hou and Ting Lei, Constrained Model Free Adaptive Predictive Perimeter Control and Route Guidance for Multi-Region Urban Traffic Systems, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2020.3017351 [4] Dai Li and Zhongsheng Hou, Perimeter Control of Urban Traffic Networks Based on Model-Free Adaptive Control, IEEE Trans.on Intelligent Transportation, 22(10), 2021, p6460-6472 |
仿真验证 仿真验证 仿真验证 仿真验证 |
车辆、列车控制 |
85 |
车辆目标位置跟踪 |
莫舒玥. 车辆动态目标位置跟踪的自适应预测控制研究. 机械设计与制造, 2018, 12: 96-99+104 |
仿真验证 |
86 |
车辆弯道 保持系统 |
田明鑫,刘翰谕. 车辆弯道保持系统的无模型自适应控制方法研究. 软件, 2017, 38(12): 283-285. |
仿真验证 |
87 |
电动车辆容错控制 |
[1]罗禹贡,陈锐,胡云.分布式电驱动车辆线控转向系统MFAC主动容错控制. 机械工程学报, 2019,55(22):131-139 [2] 胡云,江发潮,陈锐,罗禹贡. 分布式电动车辆驱动系统MFAC主动容错控制. 汽车工程, 2019, 41(09): 983-989+1005 |
仿真验证 仿真验证 |
88 |
四轮独立驱动电动汽车横/纵向容错跟踪控制 |
[1] Luo Y,Luo J,Qin Z. Model-independent self-tuning fault-tolerant control method for 4WID EV. International Journal of Automotive Technology, 2016, 17(6): 1091-1100 [2] Yugong Luo,Yun Hu, Fachao Jiang, Rui Chen,Yongsheng Wang. Active Fault-Tolerant Control Based on Multiple Input Multiple Output-Model Free Adaptive Control for Four Wheel Independently Driven Electric Vehicle Drive System. Applied Sciences, 2019, 9(2)：276-292 |
[1]实验验证 [2]仿真验证 |
89 |
列车运行系统跟踪控制 |
[1] Haojun Wang and Zhongsheng Hou*, Model-Free Adaptive Fault-Tolerant Control for Subway Trains with Speed and Traction/Braking Force Constraints, IET Control Theory & Applications, 2020, Vol. 14 Iss. 12, pp. 1557-1566 [2] Qiongxia Yu, Zhongsheng Hou and Jian-Xin Xu, D-type ILC based dynamic modeling and norm optimal ILC for high-speed trains", IEEE Transactions on Control Systems Technology, 26(2), pp652-663, March, 2018 [3] 石卫师. 基于无模型自适应控制的城轨列车自动驾驶研究. 铁道学报, 2016, 38(03): 72-77 |
仿真验证 仿真验证 仿真验证 |
90 |
无人驾驶车辆路径跟踪 |
[1] 段建民,马学峥,柳新. 基于MFAPC的无人驾驶汽车路径跟踪方法. 计算机工程, 2019, 45(06): 6-11+20 [2] 田涛涛,侯忠生,刘世达,邓志东. 基于无模型自适应控制的无人驾驶汽车横向控制方法. 自动化学报, 2017, 43(11): 1931-1940 [3] 许德智,邓竞,颜文旭,纪志成. 智能车辆自动超车系统的数据驱动路径跟踪约束控制. 控制理论与应用, 2018, 35(03): 283-290 [4] Shida Liu, Zhongsheng Hou*, Taotao Tian, Zhidong Deng , and Zhenxuan Li, A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car，IEEE Transactions on neural networks and learning systems, 30(11), 2019. 3444-3457 |
仿真验证 现场应用 仿真验证 现场应用
|
91 |
自动泊车系统 |
[1] Dezhi Xu; Yan Shi; Zhicheng Ji. Model-Free Adaptive Discrete-Time Integral Sliding-Mode-Constrained-Control for Autonomous 4WMV Parking Systems. IEEE T-IE, 2018, 65(1): 834-843 [2] 熊 勇,余嘉俊,牟军敏,张本任,张 加,朱奇舸，基于数据驱动控制的船舶自动靠泊，中国航海， 43(3), p1-7,2020 |
仿真验证 |
92 |
无人车漂移控制 |
王洪斌，左佳铄，刘世达，郑维，王力. 基于无模型自适应控制的无人驾驶车辆漂移控制. 控制理论与应用， 2021, 38(1): 23 – 32 |
仿真验证 |
无人水面舰艇 |
93 |
自主式海洋航行器跟踪控制 |
[1] Yongpeng Weng, Ning Wang, Hongde Qin, Hamid Reza Karimi, Wenhai Qi. Data-driven adaptive tracking control of unknown autonomous marine vehicles, IEEE Access, 2018, 6: 55723 – 55730 [2] Yongpeng Weng, Ning Wang. Data-driven robust backstepping control of unmanned surface vehicles. International Journal of Robust and Nonlinear Control, 2020, 30(9): 3624-3638 [3]肖长诗,周杰,陶威,朱曼,文元桥. 小型无人艇无模型自适应路径跟踪控制.武汉理工大学学报(交通科学与工程版), 2020 |
仿真验证 实验验证 实验验证 |
94 |
无人水面舰艇航向控制 |
[1] Ye Li, Leifeng Wang, Yulei Liao, Quanquan Jiang, Kaiwen Pan. Heading MFA control for unmanned surface vehicle with angular velocity guidance. Applied Ocean Research, 2018(80): 57-65 [2] Yulei Liao,Tingpeng Du,Quanquan Jiang, Model-free adaptive control method with variable forgetting factor for unmanned surface vehicle control, Applied Ocean Research, DOI:10.1016/j.apor.2019.101945. 2019 [3] Quanquan Jiang,Ye Li,Yulei Liao,Yugang Miao,Wei Jiang,Haowei Wu. Information fusion model-free adaptive control algorithm and unmanned surface vehicle heading control. Applied Ocean Research. 2019. DOI:10.1016/j.apor.2019.06.008 [4] 廖煜雷,杜廷朋,付悦文,姜权权,陈启贤,姜文. 无人艇重定义无模型自适应艏向控制方法与试验. 哈尔滨工程大学学报, 2020, 41(01): 37-43 [5] Yulei Liao,Quanquan Jiang,Tingpeng Du,Wen Jiang. Redefined Output Model-Free Adaptive Control Method and Unmanned Surface Vehicle Heading Control. IEEE Journal of Oceanic Engineering, 2020,45(3):714-723 [6] Quanquan Jiang,Yulei Liao,Ye Li,Yugang Miaao,Wen Jiang,Changsheng Cheng. Unmanned surface vessel heading control of model-free adaptive method with variable integral separated and proportion control. International Journal of Advanced Robotic Systems, 2019, 16(3), DOI: 10.1177/1729881419831584 [7] Quanquan Jiang,Yulei Liao,Ye Li,Jianjian Fan,Yugang Miao. Heading Control of Unmanned Surface Vehicle With Variable Output Constraint Model-Free Adaptive Control Algorithm. IEEE Access, 2019, 7: 131008-131018 |
[1]实验验证 [2]实验验证 [3]实验验证 [4]现场应用验证 [5]实验验证 [6]实验验证 [7]仿真验证 |
船舶领域 |
95 |
欠驱动船舶路径跟踪控制 |
Yongpeng Weng, Ning Wang, Carlos Guedes Soares. Data-driven sideslip observer-based adaptive sliding-mode path-following control of underactuated marine vessels. Ocean Engineering, 2020,(197). DOI:10.1016/j.oceaneng. 2019.106910 |
仿真验证 |
96 |
船舶自动靠泊 |
熊勇,余嘉俊,牟军敏,张本任,张加,朱奇舸. 基于数据驱动控制的船舶自动靠泊. 中国航海, 2020,43(03):1-7 |
实验验证 |
97 |
船舶柴油发电机 |
[1] An improved model free adaptive control of marine generator excitation system. International Journal of Robotics and Automation, 2017,32(6) [2] 徐蕾蕾,施伟锋,谭悦. 船舶柴油发电机组的建模与自适应控制. 通信电源技术, 2016, 33(01): 50-53 |
[1]实验验证 [2]仿真验证 |
98 |
船舶电力 推进系统 |
Yao Wenlong,Liu Yuan,Zhang Jun-dong,Chi Ronghu,Shao Wei,Zhang Guichen. Ship electrical propulsion control system based on improved model-free adaptive control. In 26th Chinese Control and Decision Conference (2014 CCDC), Changsha,China, 2014, pp. 1526-1529 |
仿真验证 |
99 |
船舶吊舱式电力推进器 |
[1] Yao Wenlong,Liu Yuan,Zhang Jundong,Sun Ming,Zhang Guichen,Shao Wei. Design of vector control based on MFAC for SSP podded propulsion. IEEE International Conference on Robotics and Biomimetics (ROBIO), Shenzhen,China,2013, pp. 2418-2423 [2] Yao Wenlong,Liu Yuan,Liu Zhu. On improved speed sensorless vector control for podded propulsion motor of dynamic positioning syetem. Proceedings of the 35th Chinese Control Conference, Chengdu, China, 2016, pp. 9265- 9269 |
[1]仿真验证 [2]仿真验证 |
100 |
船舶减摇水舱试验台 |
Jie Ma,Gang Zhao,Zhiyong Chen,Guobin Li. Simulation comparisons among pid control, adaptive control and mfc on ship anti-rolling tank test platform. 2007 International Conference on Mechatronics and Automation, Harbin,China, 2007, pp. 3948-3953 |
实验验证 |
101 |
绞吸式挖泥船泥浆管道输送 |
潘成广, 高 岚, 朱师伦, 绞吸式挖泥船泥浆管道输送系统MFAFC 研究, 船舶工程, 42(6), 82-90，2020 |
仿真验证 |
102 |
石油管道泵站控制 |
Lei He, Kai Wen, Jing Gong, Changchun Wu, A multi-model ensemble digital twin solution for real-time unsteady flow state estimation of a pumping station, ISA Transactions, https://doi.org/10.1016/j.isatra.2021.08.021 |
仿真验证 |
多智能体系统 |
103 |
网络非线性多智能体系统 |
[1] Li ChangJiang, Liu Guo-Ping. Data-driven consensus for non-linear networked multi-agent systems with switching topology and time-varying delays. IET Control Theory Appl, 2018, 12(12): 1773-1779 [2] Yingchun Wang, Haifeng Li, Xiaojie Qiu, Xiangpeng Xie. Consensus tracking for nonlinear multi-agent systems with unknown disturbance by using model free adaptive iterative learning control. Applied Mathematics and Computation, 2020(365). DOI:10.1016/j.amc.2019.124701 [3] Jian Feng, Weizhao Song, Huaguang Zhang, Wei Wang. Data-Driven Robust Iterative Learning Consensus Tracking Control for MIMO Multiagent Systems Under Fixed and Iteration-Switching Topologies. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020,DOI: 10.1109/TSMC.2020.3017289 [4] Zhang Ji, Chai Sen Chun, Zhang Bai Hai, Liu Guo Ping. Distributed data-driven tracking control for networked nonlinear MIMO multi-agent systems subject to communication delays. Neurocomputing, 2019, DOI：10.1016/J.NEUCOM.2019.12.075 [5] Xuhui Bu, Qiongxia Yu, Zhongsheng Hou, Wei Qian. Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 49(4): 677-686 |
[1]实验验证 [2]仿真验证 [3]仿真验证 [4]仿真验证 [5]仿真验证 |
104 |
网络非线性多智能体延时系统 |
[1] Ji Zhang, Senchun Chai, Baihai Zhang, Guoping Liu. Relay cooperative tracking control of networked nonlinear multi-agent systems with communication delays: A data-driven method. Neurocomputing, 2019(363): 9-16 [2] Guoping Liu. Predictive Control of Networked Nonlinear Multiagent Systems With Communication Constraints, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(11): 4447-4457 |
[1]试验验证 [2] 试验验证 |
105 |
事件触发合围网络多智能体系统 |
Changchun Hua,Yunfei Qiu, Xinping Guan. Event-Triggered Iterative Learning Containment Control of Model-Free Multiagent Systems. IEEE Transactions on Systems. Man, and Cybernetics: Systems,2020. DOI: 10.1109/TSMC.2020.2981404 |
仿真验证 |
106 |
网络多智能体编队控制 |
[1] Ronghu Chi,Yu Hui,Biao Huang,Zhongsheng Hou. Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control. IEEE Transactions on Cybernetics, 2020,50(10):4358-4369 [2] Song Weizhao, Feng Jian, Sun Shaoxin. Data-based output tracking formation control for heterogeneous MIMO multiagent systems under switching topologies. Neurocomputing,2020(422):322–331 [3] 金尚泰,李澈,任叶,侯忠生. 未知异构非线性多智能体系统的无模型自适应编队控制. 控制与决策, 2020, 35(06): 1519-1524 [4] Dezhi Xu, Weiming Zhang, Peng Shi, Bin Jiang. Model-Free Cooperative Adaptive Sliding-Mode-Constrained-Control for Multiple Linear Induction Traction Systems. IEEE Transactions on Cybernetics, 2020, 50(9): 4076-4086 |
[1]仿真验证 [2]仿真验证 [3]实验验证 [4] 实验验证 |
107 |
云网络多智能体预测控制系统 |
[1] Haoran Tan, Zhiqiang Miao, Yaonan Wang, Min Wu, Zhiwu Huang. Data-Driven Distributed Coordinated Control for Cloud-Based Model-Free Multiagent Systems With Communication Constraints. IEEE Transactions on Circuits and Systems I: Regular Papers, 2020, 67(9): 3187-3198 [2] Tan Haoran, Huang Zhiwu,Wu Min. Data-Based Predictive Control for Networked Nonlinear Multi-agent Systems Consensus Tracking via Cloud Computing, IET Control Theory and Applications, 2019, 13(5): 683-692 [3] Haoran Tan, Yaonan Wang, Min Wu, Zhiwu Huang, and Zhiqiang Miao，Distributed Group Coordination of Multiagent Systems in Cloud Computing Systems Using a Model-Free Adaptive Predictive Control Strategy，IEEE Transactions on Neural Networks and Learning System， https://doi.org/10.1109/TNNLS.2021.3053016. [4] Haoran Tan, Yaonan Wang, Hang Zhong, Min Wu, Yiming Jiang, Coordination of low-power nonlinear multi-agent systems using cloud computing and a data-driven hybrid predictive control method, Control Engineering Practice 108 (2021) 104722 |
[1]实验验证 [2]实验验证 [3] 实验验证 [4] 实验验证 |
108 |
多智能体终端迭代学习控制 |
Yunkai Lv, Ronghu Chi, Yuanjing Feng. An Adaptive Estimation-based TILC for the Finite-time Consensus Control of Nonlinear Discrete-time MASs under Directed Graph. IET Control Theory & Applications, 2018, 12(18): 2516-2525 |
仿真验证 |
网络控制 |
109 |
网络系统预测控制 |
Zhong-Hua Pan, Guo-Ping Liu, Donghua Zhou, Dehui Sun. Data-Based Predictive Control for Networked Nonlinear Systems With Network-Induced Delay and Packet Dropout. IEEE Transactions on Industrial Electronics, 2016, 63(2): 1249-1257 |
实验验证 |
110 |
网络系统无模型自适应迭代学习控制 |
Jiannan Chen, Changchun Hua, Xinping Guan. Iterative Learning Model-Free Control for Networked Systems With Dual-Direction Data Dropouts and Actuator Faults. IEEE Transactions on Neural Networks and Learning Systems, 2020. DOI: 10.1109/TNNLS.2020.3027651 |
仿真验证 |
111 |
信息物理系统抗干扰攻击 |
Qiu Xiaojie, Wang Yingchun, Xie Xiangpeng, Zhang Huaguang. Resilient model-free adaptive control for cyber-physical systems against jamming attack. Neurocomputing, 2020(413): 422-430 |
仿真验证 |
112 |
网络流量控制 |
Chu Weibo, Guan Xiaohong, Cai Zhongmin, Gao Lixin. Real-time volume control for interactive network traffic replay. Computer Networks, 2013, 57(7): 1611-1629 |
实验验证 |
蒸馏、分馏过程 |
113 |
蒸馏过程 |
Dezhi Xu, Bin Jiang, Peng Shi. A novel model-free adaptive control design for multivariable industrial processes. IEEE Transactions on Industrial Electronics, 2014,61(11):6391-6398 |
仿真验证 |
114 |
蒸馏塔模型 |
[1] 程志强,朱纪洪,袁夏明. 考虑执行器饱和的改进无模型自适应控制. 自动化学报, 2016, 42(08):1158-1165 [2] Coelho Leandro dos Santos, Rodrigues Coelho Antonio Augusto. Model-free adaptive control optimization using a chaotic particle swarm approach. Chaos, Solitons and Fractals, 2009, 41(4): 2001-2009 |
仿真验证 仿真验证 |
115 |
气体分馏装置操作调整 |
[1] 胡益民,李国庆,张家龙. 无模型自适应控制参数输入方法改进及在气体分馏装置操作调整中的应用. 化工学报, 2015, 66(10): 4076-4084 [2] 苗帝,刘振娟,李宏光. 精馏过程的模糊无模型自适应协调控制方法. 计算机仿真, 2013, 30(01): 377-381 |
仿真验证 仿真验证 |
116 |
多效蒸发系统 |
李春玲,何小阳. 多效蒸发的无模型自适应控制研究. 湖南工业大学学报, 2008(05): 74-76 |
仿真验证 |
焊接过程 |
117 |
等离子焊接过程控制 |
Di Wu, Huabin Chen, Yiming Huang, Shanben Chen. On-line Monitoring and Model-Free Adaptive Control of Weld Penetration in VPPAW Based on Extreme Learning MMachine. IEEE Transactions on Industrial Informatics, 2019, 15(5): 2732-2740 |
实验验证 |
118 |
熔化极气体焊接过程 |
[1] 佃松宜,吉蕊,苏敏. 熔化极气体保护焊中弧长系统的改进无模型自适应控制. 工程科学与技术, 2018, 50(01): 140-148 [2] 吴志军,刘小河. 电弧炉电极调节系统的无模型自适应控制. 北京信息科技大学学报(自然科学版), 2016, 31(1): 33-37 |
仿真验证 仿真验证
|
119 |
弧焊焊接池控制 |
[1] Chunyang Xia, Zengxi Pan, Shiyu Zhang, Huijun Li, Yanling Xu and Shanben Chen, Model-free adaptive iterative learning control of melt pool width in wire arc additive manufacturing, The International Journal of Advanced Manufacturing Technology, (2020) 110:2131-142 [2] Fenglin Lü, Huabin Chen, Chongjian Fan, Shanben Chen. A novel control algorithm for weld pool control. Industrial Robot: An International Journal, 2010,37(1):89-96, 2010. [3] 吕凤琳, 陈华斌, 樊重建, 陈善本. 无模型自适应控制方法在脉冲TIG焊中的应用. 上海交通大学学报, 2009, 43(01): 61-64+70 |
实验验证 实验验证 实验验证 |
120 |
闪光对接焊控制 |
Dong Guo, Yongling Fu, Ning Lu, Weihong Wang. Application of model-free adaptive control in billet flash butt welding. Proceedings of the 29th Chinese Control Conference (CCC), Beijing,China, 2010, pp.5110-5114 |
仿真验证 |
数控机床 |
121 |
数控机床热误差补偿控制 |
[1] Xian Wei, Feng Gao, Jingdong Zhang, Yunwei Wang. Thermal error compensation of CNC machine based on data-driven. 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, 2016: 421-424 [2] Puling Liu, Xiaodong Yao, Guangyan Ge, Zhengchun Du, Xiaobing Feng and Jianguo Yang, A Dynamic Linearization Modeling of Thermally Induced Error Based on Data‑Driven Control for CNC Machine Tools, International Journal of Precision Engineering and Manufacturing (2021) 22:241–258 [3] 尤娜娜, 辛世界. 数控强力旋压机的直线同步进给驱动控制. 机床与液压, 2015, 43(16): 135-138 |
实验验证 实验验证 仿真验证 |
122 |
数控机床主轴温度控制 |
Xiang Sitong, Yao Xiaodong, Du Zhengchun, Yang Jianguo. Dynamic linearization modeling approach for spindle thermal errors of machine tools. Mechatronics, 2018(53): 215-228 |
实验验证 |
123 |
数控机床系统控制 |
[1] 乔凌钰, 费玉环, 郑凯, 马振伟, 刘玥. 基于MFAC的数控机床位置伺服系统. 南京信息工程大学学报(自然科学版), 2020 [2] 梁建智, 谢祥强, 杨铭, 李廷彦, 秦永振. 数控机床位置伺服系统的无模型自适应迭代学习控制. 机床与液压, 2020, 48(13): 124-128 [3] 赵盛烨,吴文江,佟敏,李锁. 基于改进MFAC的智能数控系统设计与实现. 吉林大学学报(信息科学版), 2020, 38(02): 160-171 |
[1]仿真验证 [2]仿真验证[3]实验验证 |
起重机 |
124 |
高架型起重机系统控制 |
[1] Roman Raul Cristian,Precup Radu Emil,Petriu Emil M. Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems. European Journal of Control, 2020. DOI：10.1016/J.EJCON.2020.08.001 [2] Raul-Cristian Roman, Radu-Emil Precup, Emil M. Petiu, Elena-Lorena Hedrea, Claudia-Adina Bojan-Dragos,Mircea-Bogdan Radac. Model-Free Adaptive Control With Fuzzy Component for Tower Crane Systems. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 1384-1389 [3] Pezeshki, M. A. Badamchizadeh, A. R. Ghiasi, S. Ghaemi. Control of overhead crane system using adaptive model-free and adaptive fuzzy sliding mode controllers. Journal of Control, Automation and Electrical Systems, 2015 ,26(1): 1-15 [4] Hoang Anh Pham and Dirk Söffker, Model-Free Adaptive Control Method Applied to Vibration Reduction of a Flexible Crane as MIMO System, PAMM · Proc. Appl. Math. Mech. 2019;19:e201900145. https://doi.org/10.1002/pamm.201900145 |
[1]仿真验证 [2]仿真验证 [3] 仿真验证 |
125 |
弹性臂起重机振动控制 |
[1] Pham Hoang Anh, Soeffker Dirk. Modified Model-Free Adaptive Control Method Applied to Vibration Control of an Elastic Crane. ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference,Anaheim,CA,USA, 2019. DOI:10.1115/DETC2019-97654 [2] Hoang Anh Pham, Dirk Söffker. Model-Free Adaptive Control Method Applied to Vibration Reduction of a Flexible Crane as MIMO System. PAMM, 2019, 19(1). DOI：10.1002/pamm.201900145 [3] Hoang Anh Pham, Dirk Söffker. Improved model-free adaptive control method using recursive least-squares estimation algorithm. 2020 European Control Conference (ECC), Saint Petersburg, Russia, 2020, pp. 47-52 |
仿真验证 仿真验证 仿真验证 |
化工过程 |
126 |
连续搅拌釜式反应器 |
[1] 张洁, 张广辉, 苏成利. 一种非线性系统的自适应无模型预测控制方法. 工业仪表与自动化装置, 2014(01): 9-12+101 [2] Jiehua Feng, Lei Cao, Luning Ma, Dongya Zhao, Sarah K Spurgeon. Model-free Adaptive Sliding Mode Control for Continuous Stirred Tank Reactor, 2018 37th Chinese Control Conference (CCC), Wuhan,China, 2018, pp.3035-3040 [3] Tianyi Guo, Hao Luo, Shen Yin, Okyay Kaynak. A recursive modified partial least square aided data-driven predictive control with application to continuous stirred tank heater. Journal of Process Control., 2020(89): 108-118 |
[1]仿真验证 [2]实验验证 [3]实验验证 |
127 |
石油催化裂化 |
宋泽雨, 李国庆, 刘凌轩. 一种新的无模型自适应控制模型参数整定方法. 化工学报, 2019, 70(09): 3430-3440 |
仿真验证 |
128 |
脱丁烷塔过程/化工聚合过程 |
Tiago Matias, Francisco Souza, Rui Araújo, Saeid Rastegar, Jérôme Mendes. Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, 2014, pp. 58-64 |
实验验证 |
129 |
湿法烟气脱硫工艺浆料的pH控制过程 |
[1] Jian Liu, Xiaoli Li, Jihan Li, Kang Wang, Fuqiang Wang, Guimei Cui, Jing Na. Model-Free Adaptive Control of pH Value of Wet Desulfurization Slurry under Switching of Multiple Working Conditions. Complexity, 2020. DOI:10.1155/2020/4727412 [2] Jian Liu,Xiaoli Li,Kang Wang,Fuqiang Wang and Guimei Cui，Model Free Adaptive Predictive Control of Desulfurization Slurry pH Based on CPS Framework, Journal of Beijing Institute of Technology，2020，Vol. 29，No. 4 |
实验验证 仿真验证 |
130 |
喷雾流化床喷雾过程 |
[1] Zhengsong Wang, Dakuo He, Xu Zhu, Jiahua Luo, Yu Liang, Xu Wang. Data-Driven model-free adaptive control of particle quality in drug development phase of spray fluidized-bed granulation process. Complexity, 2017. DOI: 10.1155/2017/4960106 [2] Zhengsong Wang, Le Yang, Yu Liang, Qing Liu, Zhiqiang Wang, Dakuo He. Data-driven Particle Quality Control of Spray Fluidized Bed Granulation Process, 2018 Chinese Automation Congress (CAC), Xi'an,China, 2018, pp.3607-3611 [3] Na Dong,Wenjin Lv, Shuo Zhu and Donghui Li, Anti-noise model-free adaptive control and its application in the circulating fluidized bed boiler, Proc IMechE Part I: J Systems and Control Engineering, DOI: 10.1177/0959651820979376 |
[1]仿真验证 [2]仿真验证 [3] 仿真验证 |
131 |
煮糖结晶过程 |
陆冠成,蒙艳玫,李文星. 基于数据驱动的煮糖结晶过程自适应控制. 甘蔗糖业,2017(02):25-31 |
现场应用验证 |
132 |
工业过程 |
Shouli Gao, Dongya Zhao, Xinggang Yan, and Sarah K. Spurgeon, Linearized Bregman iteration based model-free adaptive sliding mode control for a class of non-linear systems, IET Control Theory Appl. 2021;15:281–296. |
实验验证 |
133 |
PVC聚合过程 |
Shu-Zhi Gao, Xiao-Feng Wu, Liang-Liang Luan, Jie-Sheng Wang, Gui-Cheng Wang. PSO optimal control of model-free adaptive control for PVC polymerization process. International Journal of Automation and Computing, 2018, 15(4): 482-491 |
仿真验证 |
锅炉、加热炉 |
134 |
锅炉温度 控制系统 |
[1] 刘林山, 宋宇. 无模型自适应控制在锅炉主汽温控系统中的应用. 工业控制计算机, 2014, 27(01): 37-38+41 [2] Zhang Qiang, Yu Hongliang, Xu Dezhi. Applying data-driven techniques to online updated PID controller for calciner outlet temperature. 2015 34th Chinese Control Conference, Hangzhou,China, 2015, pp.94-97 |
仿真验证 仿真验证 |
135 |
锅炉出口压力控制 |
Jing Wang, Chao Ji, Liulin Cao, Qibing Jin. Design and realization of automatic control system for boiler based on model free adaptive control. 2011 Chinese Control and Decision Conference(CCDC), Mianyang,, China, 2011, pp.1881-1886 |
实验验证 |
136 |
锅炉汽包系统控制 |
[1] WANG Jing,JI Chao,CAO Liulin. Application of improved model-free adaptive control in an industrial boiler system. 31st Chinese Control Conference(CCC), 2012, pp. 7014-7019 [2] LIAO Yong-wen,MA Yi-ming,CHEN Bao-wei,LI Geng-da,ZENG De-liang. Model free adaptive control scheme based on Elman neural network prediction. 2020 39th Chinese Control Conference (CCC), Shenyang, China, 2020，pp. 2312-2316 [3] 刘倩,石红瑞. 基于数据驱动的锅炉汽包水位串级控制. 石油化工自动化,2018, 54(06):50-54 |
实验验证 仿真验证 仿真验证 |
137 |
锅炉水循环系统 |
朱明山,刘剑敏,胡小虎,余数,徐顺宠,叶志晖. 锅炉水循环系统的无模型自适应控制研究. 重庆理工大学学报(自然科学), 2019,33(07):214-220 |
仿真验证 |
138 |
循环流化床锅炉燃烧过程 |
[1]牛培峰,李梦宁,孙丽朋,马云鹏,刘魏岩,李刚. 针对多变量耦合时滞系统的无模型控制改进算法. 化工学报, 2016, 67(6):2488-2494 [2]徐凯,赵玉明. 循环流化床锅炉燃烧过程无模型自适应控制研究. 机械设计与制造, 2019(2):199-203 |
[1]仿真验证 [2]仿真验证 |
139 |
焦炉集气压力控制 |
[1] Yongpeng Weng,Xianwen Gao. Data-driven robust output tracking control for gas collector pressure system of coke ovens. IEEE Transactions on Industrial Electronics, 2017, 64(5): 4187-4198 [2] Xianwen Gao,Yongpeng Weng. Chattering-free model free adaptive sliding mode control for gas collection process with data dropout. Journal of Process Control, 2020,93. DOI:10.1016/j.jprocont.2020.07.003 |
[1]实验验证 [2]实验验证 |
140 |
双室电加热炉 |
Jun-Sheng Wang,Guang-Hong Yang. Data-Driven Approach to Accommodating Multiple Simultaneous Sensor Faults in Variable-Gain PID Systems. IEEE Transactions on Industrial Electronics,2019,66(4):3117-3126 |
实验验证 |
141 |
加热炉温度控制 |
温锐,董学平,鲁照权. 无模型控制在步进加热炉速度控制中的应用. 合肥工业大学学报(自然科学版), 2012, 35(10): 1327-1329 |
仿真验证 |
钻井采油系统 |
142 |
潜油电机采油系统 |
王通,赖浩喆,高宪文. 潜油电机建模与无模型自适应控制应用. 控制工程,2015, 22(5): 835-840 |
仿真验证 |
143 |
垂直钻井纠斜控制 |
李运升,姚爱国,杨俊波,吴红建. 基于无模型自适应算法的垂钻纠斜控制试验研究. 探矿工程(岩土钻掘工程), 2009, 36(S1): 104-107 |
实验验证 |
144 |
压力控制钻井 |
Song Luqing, Hu Wenjin, Li Kaishu, Wang Xiaogang, Song Lepeng. Application of Model-Free Adaptive Control in Managed Pressure Drilling. 2018 IEEE International Conference of Safety Produce Informatization (IICSPI), Chongqing, China,2018,pp.102-107 |
仿真验证 |
制冷、制热系统 |
145 |
空调系统 |
[1] 冯增喜,任庆昌. 中央空调中一类不确定性模型的MFAC 研究. 西安建筑科技大学学报, 2015, 47(1): 136-140 [2] Chi Ronghu, Lv Yunkai, Huang Biao. Distributed iterative learning temperature control for multi-zone HVAC system. Journal of the Franklin Institute, 2020, 357(2):810-831 [3] Xian Yu, Zhongsheng Hou, Xin Zhang. Model-free adaptive control for a vapour-compression refrigeration benchmark process. IFAC—PapersOnLine, 2018,51(4):527-532 |
仿真验证 仿真验证 实验验证 |
146 |
制冷溴化锂机组控制 |
董娜,冯宇,吴爱国,韩学烁. 无模型预测控制及在溴化锂机组控制中的应用. 吉林大学学报(信息科学版),2019,37(04):372-381 |
仿真验证 |
147 |
吸收式制冷系统 |
Yi Chai, Aiguo Wu, Na Dong, Yakun Wang, Yudi Li. Dynamic Operation and Control Strategy of Absorption Chiller under Different Working Conditions. 2018 13th World Congress on Intelligent Control and Automation (WCICA), Changsha, China, 2018,pp.1525-1530 |
仿真验证 |
核工业 |
148 |
核蒸汽发生器水位系统 |
黄伟,杨爽爽. 基于GMFAC 的核电厂蒸汽发生器水位优化控制. 核动力工程,2017, 38(6):81-86 |
仿真验证 |
149 |
核电站压力控制 |
唐瑶. 基于GMFAC的核电站稳压器压力优化控制. 核科学与工程,2018,38(3):487-493 |
仿真验证 |
电池领域 |
150 |
燃料电池控制 |
[1] Dezhi Xu,Bin Jiang,Fei Liu. Improved data driven model free adaptive constrained control for a solid oxide fuel cell. IET Control Theory & Applications, 2016, 10(12): 1412-1419 [2] 刘璐,李奇,尹良震,王天宏,陈维荣. 基于PFDL的阴极开放式PEMFC系统无模型自适应预测控制. 中国电机工程学报,2019, 39(16):4827-4837+4984 |
仿真验证 实验验证 |
151 |
电池储能 |
[1] Weiming Zhang, Dezhi Xu, Bin Jiang, Tinglong Pan. Prescribed performance based model-free adaptive sliding mode constrained control for a class of nonlinear systems. Information Sciences, 2021. DOI:10.1016/j.ins.2020.06.061
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[1]仿真验证 [2]仿真验证 |
152 |
固体氧化燃料电池 |
Omer Abbaker AM, Haoping Wang and Yang Tian, Enhanced Model-Free Discrete-Time Adaptive Terminal Sliding-Mode Control for SOFC Power Plant with Input Constraints, Arabian Journal for Science and Engineering, https://doi.org/10.1007/s13369-021-05835-w |
仿真验证 |
硅成型过程 |
152 |
多晶硅还原炉硅棒温度控制 |
谢宏, 陈俊辉, 陈海滨, 邹高亮, 杨鹏, 谭阳红, 何怡刚. 无模型自适应模糊算法的多晶硅棒温度控制. 计算机工程与应用, 2016, 52(1):244-249
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现场应用验证 |
154 |
硅单晶生长控制 |
[1] Yin Wan, Ding Liu, Junchao Ren, Congcong Liu, Jie Sun. Model-Free Sliding Mode Iterative Learning Control for Cz Silicon Single Crystal Diameter. 2020 39th Chinese Control Conference (CCC), China, 2020, pp.5713-5717 [2] Jun-Chao Ren, Ding Liu, Zhan Wang, Yin Wan. Data-driven model-free adaptive sliding mode control for melt surface temperature of Czochralski silicon monocrystal growth process. 2019 Chinese Automation Congress (CAC), Hangzhou,China,2019,pp.4047-4051 [3] Jun-Chao Ren, Ding Liu, and Yin Wan, Model-Free Adaptive Iterative Learning Control Method for the Czochralski Silicon Monocrystalline Batch Process, IEEE Transactions on Semiconductor Manufacturing， DOI 10.1109/TSM.2021.3074625 [4] Jun-Chao Ren, Ding Liu, and Yin Wan, Modeling and application of Czochralski silicon single crystal growth process using hybrid model of data-driven and mechanism-based methodologies, Journal of Process Control, 104 (2021) 74–85 |
仿真验证 仿真验证 应用验证 应用验证 |
水箱控制 |
155 |
水箱液位控制 |
[1] 侯明冬,王印松. 一类非线性大滞后系统自适应积分滑模控制. 控制理论与应用,2019, 36(07):1182-1188 [2] Yongpeng Weng, Xianwen Gao. Adaptive sliding mode decoupling control with data-driven sliding surface for unknown mimo nonlinear discrete systems. Circuits, Systems, and Signal Processing, 2017,36(3):969-997 |
实验验证 仿真验证 |
混沌系统 |
156 |
混沌系统控制 |
[1] 王跃钢,文超斌,杨家胜,左朝阳,崔祥祥. 基于无模型方法的混沌系统自适应控制. 物理学报,2013,62(10):73-79 [2] 卫晓娟,李宁洲,丁旺才. 一类非光滑系统的无模型自适应混沌控制. 振动工程学报,2018,31(06):996-1005 [3] André K. O. Tiba，Aluizio F. R. Araujo. Control strategies for Hopf bifurcation in a chaotic associative memory. Neurocomputing, 2018，323. DOI:10.1016/j.neucom.2018.09.078 |
[1]仿真验证 [2]仿真验证 [3]仿真验证 |
工业过程领域 |
157 |
非线性系统辨识 |
[1] Na Lin,Ronghu Chi, Biao Huang. Data-driven recursive least squares methods for non-affined nonlinear discrete-time systems. Applied Mathematical Modelling,2019,81:787-798 [2] Na Lin, Ronghu Chi,Biao Huang,Zhongsheng Hou. Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach. Journal of the Franklin Institute,2019, 356(13):7009-7027 |
[1]仿真验证 [2]仿真验证 |
158 |
PID控制器设计 |
[1] Hao Yu, Zhe Guan, Tongwen Chen, Toru Yamamoto. Design of data-driven PID controllers with adaptive updating rules, Automatica,2020,121. DOI:10.1016/j.automatica.2020.109185 [2] 侯小秋. 多变量系统的变时滞无模型预测滤波PID控制. 黑龙江科技大学学报,2019,29(5):614-620 |
仿真验证 仿真验证 |
159 |
时滞系统 |
[1] 沈焱鑫,潘丰. 基于大时滞系统的改进无模型控制器研究. 计算机工程,2015,41(6):300-305 [2] 王连杰,朱远明,钟伟民. 一种时滞系统的改进无模型自适应预测控制. 控制工程,2020. DOI:10.14107/j.cnki.kzgc.20180698 |
[1]仿真验证 [2]仿真验证 |
160 |
板材多点 成形过程 |
刘纯国,隋振,付文智,李明哲. 板材多点成形过程的非参数模型及自适应控制. 控制工程,2004,11(4):306-308 |
仿真验证 |
161 |
长管气动执行器 |
Xiaofei Zan,Tao Wang. A pneumatic force actuator system with long tubes based on the model-free adaptive control with a tracking differentiator. 2015 8th International Congress on Image and Signal Processing (CISP),Shenyang, China,2015,pp.1131-1136 |
实验验证 |
162 |
注模机控制 |
K. K. Tan,T. H. Lee,S. N. Huang,F. M. Leu. Adaptive-predictive control of a class of SISO nonlinear systems. Dynamics and Control, 2001, 11(2): 151-174 |
仿真验证 |
163 |
磨矿过程控制 |
张燕,张佳,代亚菲. 磨矿过程基础回路优化控制方法. 工矿自动化, 2016, 42(5): 76-80 |
仿真验证 |
164 |
球磨机 |
程启明,程尹曼,汪明媚,王映斐. 基于灰色预测的无模型控制在球磨机负荷控制中的仿真研究. 仪器仪表学报,2011,32(1):87-92 |
现场应用验证 |
165 |
锌层厚度控制 |
张岩,邵富群,吴鲲魁,王军生. 基于无模型自适应控制的锌层厚度预估模型. 系统仿真学报, 2013, 25(5): 1060-1064 |
仿真验证 |
166 |
钛合金板厚度控制 |
王彬彬,张飞,王京. 基于递推最小二乘法的无模型自适应厚度控制. 冶金自动化, 2015, 39(3): 34-38 |
仿真验证 |
167 |
多线切割机 |
蒋近,戴瑜兴,郜克存,彭思齐. 多线切割机的无模型自适应交叉耦合控制. 控制工程, 2012, 19(1): 33-35+52 |
实验验证 |
168 |
隧道窑控制 |
李庆哲,梁秀满,刘振东. 无模型自适应算法在隧道窑控制中的应用研究. 自动化博览, 2013, 30(7): 72-74 |
实验验证 |
169 |
催化棒 温度辨识 |
Z. Ghasemi, M. Karrari, M. Shafiee. Recursive identification of nonlinear two-dimensional (2-D) systems. The 2nd International Conference on Control, Instrumentation and Automation,Shiraz, 2011,pp.1124-1129 |
仿真验证 |
170 |
电液伺服系统 |
Yongling Fu,Dianliang Fan,Haitao Qi,Weihong Wang. The application of co-simulation based on amesim and matlab in electro-hydraulic servo system. Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, Harbin, China, 2011,pp,3547-3550 |
仿真验证 |
171 |
高炉炼铁 |
[1] 温亮,周平. 基于多参数灵敏度分析与遗传优化的铁水质量无模型自适应控制. 自动化学报, 2019. DOI:10.16383/j.aas.c180741 [2] Liang Wen,Ping Zhou,Hong Wang,Tianyou Chai. Model Free Adaptive Predictive Control of Multivariate Molten Iron Quality in Blast Furnace Ironmaking. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL, 2018, pp.2617-2622 [3] Ping Zhou, Shuai Zhang, Liang Wen, Jun Fu, Tianyou Chai, and Hong Wang, Kalman Filter-Based Data-Driven Robust Model-Free Adaptive Predictive Control of a Complicated Industrial Process, IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/TASE.2021.3061974. |
[1]仿真验证 [2]实验验证 [3]实验验证 |
172 |
液压非线性阀控制 |
Leandro dos Santos Coelho,Marcelo Wicthoff Pessôa,Rodrigo Rodrigues Sumar,Antonio Augusto Rodrigues Coelho. Model-free adaptive control design using evolutionary-neural compensator. Expert Systems with Applications, 2009, 37(1):499-508 |
仿真验证 |
173 |
碳捕获过程 |
Ziang Li,Zhengtao Ding,Meihong Wang,Eni Oko. Model-free adaptive control for MEA-based post-combustion carbon capture processes. Fuel, 2018, 224:637-643 |
仿真验证 |
174 |
玻璃熔窑 温度控制 |
齐建玲,马光. 玻璃熔窑无模型自适应控制系统的设计. 北华航天工业学院学报, 2010, 20(2):1-3+10 |
仿真验证 |
175 |
射电望远镜舱索天线系统 |
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实验验证 仿真验证 |
176 |
过程生产分解协调优化 |
Bo Yang,He Li,Hongguang Li. Multilayer process goose queue (PGQ) formation adjustment approaches based on model-free adaptive control strategies. Transactions of the Institute of Measurement and Control, 2019, 41(1): 45-54 |
仿真验证 |
177 |
水泥粒度控制系统 |
Zhugang Yuan,Hengtao Liu,Qiang Zhang,Zhe Su,Yadong Liu. Adaptive PID control for cement particle size system based on data-driven technology. 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics(IHMSC),Hangzhou,China,2016,pp.195-199 |
仿真验证 |
178 |
水质净化过程 |
刘广生,徐希玉,李传庆. 双前馈无模型自适应控制在混凝加药中的仿真. 计算机仿真, 2009, 26(7):189-191 |
仿真验证 |
179 |
自动供水系统 |
孙晓,卢祥江,武宇龙,刘永彬. 自动供水系统中的无模型自适应控制方法研究.湖南工业大学学报, 2013, 27(5):76-80 |
仿真验证 |
180 |
水煤气转换反应系统控制 |
Qinglai Wei, Derong Liu. Data-driven neuro-optimal temperature control of water–gas shift reaction using stable iterative adaptive dynamic programming. IEEE Transactions on Industrial Electronics, 2014, 61(11): 6399-6408 |
仿真验证 |
181 |
pH值过程控制 |
Bin Zhang,Weidong Zhang. Adaptive predictive functional control of a class of nonlinear systems. ISA Transactions,2006,45(2):175-183 |
仿真验证 |
182 |
肾上腺激 调控 |
黄知鸷,丁永生,郝矿荣. 基于肾上腺激素调控的IMFAC. 计算机仿真, 2014, 31(3):363-366 |
仿真验证 |
183 |
气动重力补偿系统 |
Yu Liu, Feng Peng, Zhen Hua, Changlong Liu, Guoxin Zhao. Improved Model-Free Adaptive Control of Pneumatic Gravity Compensation System. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2020, 24(3): 375-365 |
实验验证 |
184 |
非线性气动系统角位置控制 |
Raul-Cristian Roman, Mircea-Bogdan Radac, Radu-Wmil Precup, Emil M.Petriu, Data-driven model-free adaptive control tuned by virtual reference feedback tuning. Acta Polytechnica Hungarica, 2016, 3(1): 83-96 |
实验验证 |
185 |
水下拖曳升沉补偿 |
王海波,王庆丰. 水下拖曳升沉补偿系统的非参数模型自适应控制. 控制理论与应用,2010, 27(4): 513-516 |
仿真验证 |
186 |
容积室压力控制 |
张昱,刘钊,陆军伟. 容积室压力的无模型自适应控制研究. 计算机工程与应用, 2008, 44(36): 206-208 |
仿真验证 |
187 |
汽-水热交换器 |
Dezhi Xu,Bin Jiang,Peng Shi. Adaptive observer based data-driven control for nonlinear discrete-time processes. IEEE Transactions on Automation Science and Engineering, 2014, 11(4):.1037-1045 |
实验验证 |
188 |
空压机出口压力 |
屠袁飞,高翀. 基于IMFAC 的空压机出口压力控制. 仪表技术与传感器, 2015,(05):104-106 |
仿真验证 |
189 |
气缸压力控制系统 |
刘昱,刘昌龙,吕文洋,彭锋,季忆,刘笑. 无模型控制器在气缸压力控制系统中的应用研究. 液压与气动, 2018, (10):49-53 |
仿真验证 |
190 |
阻尼器工程结构控制 |
周强,瞿伟廉. 安装MR阻尼器工程结构的非参数模型自适应控制. 地震工程与工程振动, 2004, (04):127-132 |
仿真验证 |
191 |
磁悬浮轴承 |
[1] Ye Yuan,Yu-kun Sun,Qian-wen Xiang,Yong-hong Huang,Zhi-ying Zhu. Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings. Frontiers of Information Technology & Electronic Engineering, 2017, 18(12):2035-2045 [2] Yangbo Zheng,Ni Mo,Yan Zhou,Zhengang Shi, A Model-Free Control Method for Synchronous Vibration of Active Magnetic Bearing Rotor System. IEEE Access,2019(7):79254-79267 |
[1]实验验证 [2]实验验证 |
192 |
带式输送机速度控制 |
胡伟,汤洁. 基于MFAC 的矿用皮带机伺服系统仿真研究. 计算机仿真,2014,31(10):373-376+385 |
仿真验证 |
193 |
带式运输协调控制 |
郑涛,韦晓龙. 基于CFDL-MFAC 的多驱动系统协调控制的研究. 化工自动化及仪表, 2016, 43(03): 236-239+316 |
仿真验证 |
194 |
振动试验系统控制 |
[1] 王跃钢,左朝阳,郭志斌,文超斌. 滑模/无模型自适应控制方法及在离心-振动试验系统中的应用. 中国惯性技术学报,2014,22(02):276-280 [2] 郭志坚,于少娟,杨琛. 模糊无模型控制在大质量缸电液激振台的半实物仿真研究. 科学技术与工程,2014,14(07):200-203+211 |
仿真验证 实验验证 |
195 |
轧机液压 伺服系统 |
崔桂梅,冯小东,李伟明. 数据驱动的无模型自适应轧机液压位置控制. 计算机仿真,2014,31(02):386-390 |
仿真验证 |
196 |
PWM整流器 |
Chunhua Guo,Tongqing Wang. The study of voltage source PWM rectifier based on MFAC. Proceedings of the 29th Chinese Control Conference, Beijing, China, 2010,pp.2077-2081 |
实验验证 |
197 |
分布式能源系统 |
Adaptive-observer-based data driven voltage control in islanded-mode of distributed energy resource systems. Energies,2018, 11(12):3299-3312 |
仿真验证 |
198 |
自动门伺服系统 |
Guangyan Chen, Rongmin Cao, Huixing Zhou. Mode-free adaptive control method application for Auto-Door servo system. 2015 IEEE International Conference on Mechatronics and Automation (ICMA), Beijing, China, 2015, pp.1601-1606 |
仿真验证 |
199 |
电压转换器 |
Wu Jianhua,Yang Haitao,Zhang Haixin,Zhu Mingguang. Model-free adaptive control for model mismatch power converters. Proceedings of the 23rd Chinese Control and Decision Conference, Mianyang, China,2011, pp. 1168-1171 |
仿真验证 |
200 |
直流转换器 |
He Lihong,Li Ke,Wang Hongyu. Research on application of boost converter based on data-driven full-format model-free adaptive controller. 2016 28th Chinese Control and Decision Conference (CCDC),Ningxia,China, 2016,pp. 464-467 |
实验验证 |
201 |
逆变器控制 |
郭志坚,张岳贤. 模糊无模型自适应控制DVR 的仿真研究. 电气传动自动化, 2016, 38(6): 5-9 |
仿真验证 |
202 |
运放电路控制 |
Chidentree Treesatayapun. Balancing control energy and tracking error for fuzzy rule emulated adaptive controller. Applied Intelligence, 2014,40(4):639-648 |
实验验证 |
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203 |
红外热像仪调焦系统控制 |
郑婕,陈洁,周立钢,夏玉婷. 红外热像仪调焦系统的无模型控制. 红外与激光工程, 2013, 42(1): 12-17 |
仿真验证 |
204 |
CPU资源 实时调度 |
魏立峰,于海斌. 一种基于自适应控制的软实时调度算法研究. 系统仿真学报, 2004, 16(4):760-762 |
仿真验证 |
205 |
宏观经济 调控 |
孙剑飞,冯英浚,王新生. 基于无模型控制的一类宏观经济动态调控. 系统工程理论与实践, 2008, 28(6): 45-52 |
仿真验证 |
206 |
供应链控制 |
郑飞. 闭环供应链协调无模型控制方法及应用研究. 物流科技, 2016, 39(8): 129-134 |
服装企业现场运营验证 |
207 |
装备制造业政策 |
张欣,于渤. 装备制造业振兴政策机制的无模型控制. 哈尔滨工程大学学报, 2011, 32(12): 1649-1654 |
仿真验证 |
208 |
逆变器电压控制 |
Haotian Liu, Wenchuan Wu, Anjan Bose. Model-free Voltage Control for Inverter-based Energy Resources: Algorithm, Simulation and Field Test Verification. IEEE Transactions on Energy Conversion, 36, NO. 2, JUNE 2021, 1207-1215
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现场应用验证 |
209 |
电解槽进料速度控制 |
Ruigang Wang,Jie Bao,Yuchen Yao. A data-centric predictive control approach for nonlinear chemical processes. Chemical Engineering Research and Design, 2018. DOI:10.1016/j.cherd.2018.12.002 |
仿真验证 |
210 |
电磁接触器 |
吴敬轩,许志红. 电磁接触器吸合过程无模型自适应控制策略.中国电机工程学报，2020, 40(05):1663-1673 |
实验验证 |
211 |
摄像机万向节控制 |
Wei Wang, Javed Masood Rana. Model-free-adaptive-based data-driven method for three-axis Gimbal control. Measurement and Control. 2020, 53(7-8): 1512-1517 |
仿真验证 |
212 |
压电驱动器 |
Muhammad Shafiq, Ashraf Saleem, Mostefa Mesbah. Model-free data driven control for trajectory tracking of an amplified piezoelectric actuator. Sensors and Actuators A: Physical, 2018, 279 :27–35 |
实验验证
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213 |
高压共轨系统 |
闫宇,杨蒲,姜斌,冒泽慧. 高压共轨系统优化无模型自适应轨压控制. 控制工程, DOI:10.14107/j.cnki.kzgc.20200505 |
仿真验证 |
214 |
湿式离合器充油压力控制 |
傅生辉,顾进恒,李臻,毛恩荣,杜岳峰,朱忠祥. 基于MFAPC的动力换挡变速箱湿式离合器压力控制方法. 农业机械学报，2020 |
仿真验证 |
215 |
采煤机控制系统 |
[1] 刘晓红,韦鲁滨,于海洋. 基于无模型自适应的粗煤泥分选控制系统研究. 中国矿业, 2020, 29(02): 82-87 [2] 朱东岳，孙建平，杨包生， 滚筒采煤机的改进无模型自适应控制仿真，计算机仿真， 37（11），2 0 2 0 [3] Chen Chen, Jiangang Lu, Different-factor compact-form model-free adaptive control with neural networks for MIMO nonlinear systems, Asian J Control. 2021, DOI: 10.1002/asjc.2555 |
仿真验证 |
216 |
潜水器定深控制 |
宋大雷,路宁,周丽芹,李坤乾,杨华,王红都. 无模型自适应控制算法在ROV定深控制中的仿真.船舶工程, 2019,41(09):87-92+103 |
仿真验证 |
217 |
重介质选煤过程 |
[1] 代伟,张凌智,褚菲,马小平. 重介质选煤过程模型与数据混合驱动的自适应运行反馈控制. 控制理论与应用, 2020, 37(02): 283-294 [2] 王萌萌. 重介质选煤过程中重介质密度的控制探析.当代化工研究, 2020 (21): 87-88 |
[1]仿真验证 [2]仿真验证 |
218 |
跨声速抖振控制 |
王旭,任凯,高传强,孔轶男,张伟伟. 跨声速抖振锁频状态下的自适应控制方法. 空气动力学学报,2020, 38(05):1011-1016 |
仿真验证 |
219 |
气动加载系统 |
任丽娜,李小广,高琳琪,刘福才. 气动加载系统的无模型自适应控制方法. 高技术通讯, 2020, 30(04): 409-414 |
实验验证 |
220 |
污水处理 |
张帅,周平. 污水处理过程递推双线性子空间建模及无模型自适应控制.自动化学报. DOI：10.16383/j.aas.c190514. |
仿真验证 |
221 |
去噪声控制 |
董娜,朱硕. 无模型自适应去噪控制及其应用. 湖南大学学报(自然科学版), 2020, 47(08): 74-81 |
仿真验证 |
222 |
压电智能结构 |
Liang Bai,Yun-Wen Feng,Ning Li,Xiao-Feng Xue. Robust Model-Free Adaptive Iterative Learning Control for Vibration Suppression Based on Evidential Reasoning. Micromachines, 2019, 10(3):196-212 |
实验验证 |
223 |
稳流燃料舱系统 |
Jinliang Liu, Qiang Zhang, Lei Zhang, Dezhi Xu. Data Driven Model Free Adaptive Constrained Control for Steady Flow Bunker System. 2018 Chinese Automation Congress (CAC), Xi'an, China, 2018, pp. 425-429 |
仿真验证 |
224 |
弹性悬臂梁小车震动控制 |
Elmira Madadi,Dirk Söffker. Model-free control of unknown nonlinear systems using an iterative learning concept: theoretical development and experimental validation. Nonlinear Dynamics, 2018, 94(2): 1151-1163 |
实验验证 |
225 |
多相流系统 |
Lei He, at al, New method based on model-free adaptive control theory and Kalman filter for multi-product unsteady flow state estimation, Journal of Energy Resources Technology. 2021. doi:10.1115/1.4050630 |
仿真验证 |
226 |
6WID/4WIS无人车 |
Yue Jiang, Xiaojun Xu, Lei Zhang, Heading tracking of 6WID/4WIS unmanned ground vehicles with variable wheelbase based on model free adaptive control, Mechanical Systems and Signal Processing 159 (2021) 107715 |
仿真验证 |
227 |
气动变载荷系统 |
任丽娜，李小广，高琳琪，刘福才，无模型控制在气动变载荷加载系统中的应用，振动与冲击，Vol． 40 No． 4 2021 |
实验验证 |
228 |
轮船停泊 |
Yong Xiong, Jiajun Yu, Yijing Tu, Lin Pan, Qige Zhu, Junmin Mou, Research on data driven adaptive berthing method and technology, Ocean Engineering Volume 222, 15 February 2021, 108620 |
实际应用 |
229 |
shape memory alloy |
Liu Mingfang, Zhao Zhirui, Hao Lina,Prescribed performance model-free adaptive sliding mode control of a shape memory alloy actuated system, ISA Transactions, https://doi.org/10.1016/j.isatra.2021.05.021 |
实验验证 |
230 |
油罐车翻滚控制 |
Xian-Sheng Li, Yuan-Yuan Ren, and Xue-Lian Zheng, Model-Free Adaptive Control for Tank Truck Rollover Stabilization, Mathematical Problems in Engineering, 2021, 16 pages, https://doi.org/10.1155/2021/8417071 |
仿真验证 |
231 |
电磁扫描显微镜 |
Ruili Dong, Yonghong Tan, Lei Wu, and Pengfei Zhao, A Model Independent Control Scheme for Electromagnetic Scanning Micromirrors, IEEE/ASME Trans. on Mechatronics, DOI:10.1109/TMECH.2021.3111224 |
实验验证 |
232 |
装配线学习装配控制 |
Jianhua Su, Yan Meng , Lili Wang, and Xu Yang， Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking，IEEE/ASME Trans. on Mechatronics, DOI: 10.1109/TMECH.2021.3110825 |
实验验证 |
