Model Free Adaptive Control: Theory and Applications
Author:   Zhongsheng Hou (School of Electronic Information and Engineering, Beijing Jiatong University) ,  Shangtai Jin
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138033962


Pages:   398
Publication Date:   16 November 2016
Format:   Paperback
Availability:   In Print   Availability explained
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Model Free Adaptive Control: Theory and Applications


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Author:   Zhongsheng Hou (School of Electronic Information and Engineering, Beijing Jiatong University) ,  Shangtai Jin
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138033962


ISBN 10:   1138033960
Pages:   398
Publication Date:   16 November 2016
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. Recursive Parameter Estimation for Discrete-Time Systems. Dynamic Linearization Approach of Discrete-Time Nonlinear Systems. Model-Free Adaptive Control of SISO Discrete-Time Nonlinear Systems. Model-Free Adaptive Control of MIMO Discrete-Time Nonlinear Systems. Model-Free Adaptive Predictive Control. Model-Free Adaptive Iterative Learning Control. Model-Free Adaptive Control for Complex Connected Systems and Modularized Controller Design. Robustness of Model-Free Adaptive Control. Symmetric Similarity for Control System Design. Applications. Conclusions and Perspectives. References. Index.

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Author Information

Zhongsheng Hou received his bachelor’s and master’s degrees from Jilin University of Technology, Changchun, China, in 1983 and 1988, and his PhD from Northeastern University, Shenyang, China, in 1994. In 1997, he joined Beijing Jiaotong University, Beijing, China, and is currently a full professor and the founding director of the Advanced Control Systems Lab, and the dean of the Department of Automatic Control. His research interests are in the fields of data-driven control, model-free adaptive control, iterative learning control, and intelligent transportation systems. He has over 110 peer-reviewed journal papers published and over 120 papers in prestigious conference proceedings. His personal website is available at acsl.bjtu.edu.cn. Shangtai Jin received his BS, MS, and PhD degrees from Beijing Jiaotong University, Beijing, China, in 1999, 2004, and 2009, respectively. He is currently a lecturer with Beijing Jiaotong University. His research interests include model-free adaptive control, iterative learning control, and intelligent transportation systems.

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