Dissertations and Monographs
[1] 侯忠生, 非线性系统参数辨识, 自适应控制和无模型学习自适应控制, 博士论文, 东北大学, 1994. [Zhongsheng Hou, “The parameter identification, adaptive control and model free learning adaptive control for nonlinear systems,” Ph.D. dissertation, Northeastern University, Shenyang, China, 1994.
[Comment: The definition of MFAC, the basic framework of MFAC for unknown SISO\MISO\MIMO non-affine nonlinear systems, the original concepts, the initial form of the dynamic linearization for nonlinear system, the new condition for stability, such as pseudo-partial-derivative, pseudo-gradient, generalized Lipschitz condition, etc were proposed in this dissertation. This dissertation was the first thesis for MFAC in the world.]
[2] 侯忠生, 无模型学习自适应控制理论,哈尔滨工业大学博士后出站报告, 1997.3 [Zhongsheng Hou, On the Model Free Learning Adaptive Control Theory, Postdoc Report, Harbin Institute of Technology, 1997].
[Comment: In this report, the systematic methodologies for the dynamic linearization data model methods were proposed in the first time with rigorous mathematical proof for the SISO\MISO\MIMO non-affine nonlinear systems respectively, and the stability analysis for the easiest case of MFAC scheme was proved for SISO\MISO\MIMO nonlinear systems.]
[3] 侯忠生著 非参数模型及其自适应控制理论，科学出版社，1999. [Zhongsheng Hou, Nonparametric Model and its Adaptive Control Theory, Science Pres, Beijing, 1999]
[ Comment：This monograph was the first book on MFAC, which summarizes the contents of the author’s Ph.D dissertation and his postdoc report under a systematic framework.]
[4] Zhongsheng Hou and Shangtai Jin, Model Free Adaptptive Control: Theory and Applications, CRC Press, 2013.9
[Comment: Comparing the monograph in 1999, this book was a formal academic monograph on the MFAC, which indicates the model free adaptive control theory is well established and perfected after MFAC was proposed twenty years ago.]
Early Papers with Comments
[1] 侯忠生，韩志刚， 鲁棒的非线性系统无模型学习自适应控制，控制与决策，10(2)，1995, pp137-142
[This was the first Chinese paper published in an official journal with the key words ‘model free learning adaptive control’, ‘pseudo-partial-derivative’, ‘generalized Lipschitz condition.’ Submission date was Nov. 25, 1993]
[2] Zhongsheng Hou and Zhigang Han, The learning control and the model-free learning adaptive control of MIMO nonlinear systems, Advances in Modeling & Analysis, C, 47(1), 1995, pp13-26
[3] 侯忠生等, 自适应控制系统的对称相似结构设计初探：参数模型情形, 控制与决策, 1998, 13, 391-395.
[4] Zhongsheng Hou and Wenhu Huang, The model-free learning adaptive control for a class of nonlinear systems and its simulation study, Control Theory and Applications, 15(6), 1998, pp894-899
[Comment: The mentioned above papers were the early articles on MFAC.]
[5] 侯忠生 无模型自适应控制的现状与展望，控制理论与应用，23(4), 586-592, 2006 [Zhongsheng Hou, On model-free adaptive control: the state of the art and perspective, Control Theory & Applications, 2006, 23(4), 586-592]
[6] 侯忠生， 无模型自适应控制最新进展及数据驱动控制的统一框架，中国自动化学会通讯, 169, 33(4), 27-35. 2012 [Zhongsheng Hou, On the latest progress of the model free adaptive control and united framework of the data driven control, Communications of CAA, 169, 33(4), p27-35, 2012]
[7] 侯忠生, 再论无模型自适应控制, 系统科学与数学, 34(10), 1182-1191, 2014. [Zhongsheng Hou, Highlight and perspective on model free adaptive control, 2014, 34 (10):1182-1191.]
[8] Zhongsheng Hou, Ronghu Chi and Huijun Gao, An Overview of Dynamic-Linearization- Based Data-driven Control and Applications, IEEE Transactions on Industrial Electrnoics, 2017
[All these four papers were the survey papers on MFAC. Paper [5] reviewed the works on MFAC till 2006 with discussions on the modularized control system design between MFAC and the other control methods. In [6], the latest progress and a new kind of MFAC based on the ideal controller dynamic linearization under a united framework of data driven control were reported. This new kind of MFAC is also called direct MFAC, which is one of three parts of MFAC, that is, indirect MFAC, direct MFAC, and MFAC on the iteration domain.）Paper [7] was a historical article on MFAC development with emphasizing on the difference between model free control and model free adaptive control. [8] was a comprehensive survey paper for MFAC using the view point of the dynamic-linearization-data model method.]
[9] Hou, Z., Bu, X., Model Free Adaptive Control with Data Dropouts, Expert Systems with Applications: An International Journal,38（8）, pp10709-10717, 2011
[10] 卜旭辉,侯忠生,金尚泰, 扰动抑制无模型自适应控制的鲁棒性分析，控制理论与应用，28（3），358-362， 2011
[11] X. Bu, Zhongsheng Hou, F. Yu and F.Wang, Robust model free adaptive control with measurement disturbance, IET Control Theory Appl., 2012, 6(9), pp. 1288–1296
[12] Bu Xuhui, Hou Zhongsheng, Yu Fashan, Fu Ziyi, Model Free Adaptive Control with Disturbance Observer, Journal of Control Engineering and Applied Informatics, 14(4), 2012, 42-49
[13] Xuhui Bu,Fashan Yu, Zhongsheng Hou, and Hongwei Zhang, Model-Free Adaptive Control Algorithm with Data Dropout Compensation, Mathematical Problems in Engineering, 2012, ID 329186, 14 pages doi:10.1155/2012/329186
[All these papers were on the robustness of MFAC, which is quite different from the traditional robustness of the model based control methods. Under the MFAC framework, the unmodelled dynamics does not exist since MFAC system is designed only using the I/O data of the closed-loop system, and no any information is dropped out. The robustness of MFAC is on the stability or performance with respective to the data dropout, noise, or disorder, etc.]
[14] Zhongsheng Hou and Wenhu Huang, The model-free learning adaptive control of a class SISO nonlinear systems, Proceedings of the 1997 American Control Conference, Albuquerque, NM, USA, 4-6, June 1997.
[15] Zhongsheng Hou and Wenhu Huang, The model-free learning adaptive control of a class of MISO nonlinear discrete-time systems, 5th IFAC Symposium on Low Cost Automation, Preprints, Ts13-26, 1998.9
[These two paper were the first two English papers on MFAC, which attracted lot of oversea scholar attentions, even today.]
[16] 侯忠生 王卫红 金尚泰, 一类离散非线性系统准滑模控制, 控制理论与应用, 26（5）, 505-509, 2009
[This was the first paper on the MFAC based sliding mode control.]
