Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
- 1st Edition - June 12, 2018
- Imprint: Academic Press
- Authors: Jing Na, Qiang Chen, Xuemei Ren
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 3 6 8 3 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 3 6 8 4 - 3
Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems w… Read more
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Request a sales quoteAdaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches.
This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering.
- Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics
- Provides practical application and experimental results for robotic systems, and servo motors
Researchers and engineers working on the topics of electrical engineering, process engineering, computer science, mechanical engineering, automotive and aerospace, engineering and the other manmade systems
I. Introduction 1
II. Modeling and control of uncertain systems with friction 2
1. Friction dynamics and modeling
2. Adaptive control for servo systems with LuGrefriction model
3. Robust tracking control for two-inertia systems with friction compensation
4. Adaptive prescribed performance control with continuous friction model
5. Composite adaptive control with discontinuous piecewise parametric friction model
III. Modeling and control of uncertain systems with input dead zone
6. Dead zone dynamics and modeling
7. Adaptive Robust Finite-Time Neural Control of Uncertain PMSM Servo System with Nonlinear Dead Zone
8. Adaptive dynamic surface controlfor strict-feedback systems with nonlinear dead zone
9. Adaptive prescribed performance control for strict-feedback systems with nonlinear dead zone
10.A modified dynamic surface control for pure-feedback systems with nonlinear dead zone
IV. Modeling and control of uncertain systems with saturation
11.Saturation dynamics and modeling
12.ESO based adaptive sliding mode control for systems with input saturation
13.Nonsingular terminal sliding mode funnel control for systems with unknown input saturation
14.Adaptive neural dynamic surface sliding mode control for uncertain systems with saturation
V. Modeling and control of uncertain systems with hysteresis
15.Hysteresis dynamics and modeling
16.Adaptive parameter estimation and model inverse control for uncertain systems with backlash
17.Parameter identification and control for Hammersteinsystems with hysteresis
18.Adaptive parameter estimation and suspension control with continuous hysteresis model
Appendix A. Constants and Conversion Factors
Appendix B. Introduction to MATLAB
- Edition: 1
- Published: June 12, 2018
- Imprint: Academic Press
- No. of pages: 336
- Language: English
- Paperback ISBN: 9780128136836
- eBook ISBN: 9780128136843
JN
Jing Na
Jing Na received his B.Eng. and Ph.D. degrees from the School of Automation, Beijing Institute of Technology, Beijing, China, in 2004 and 2010, respectively. He was a Monaco/ITER Postdoctoral Fellow at the ITER Organization, Saint-Paul-lès-Durance, France, and also a Marie Curie Intra-European Fellow with the Department of Mechanical Engineering, University of Bristol, U.K. Since 2010, he has been with the Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China, where he became a professor in 2013. He has co-authored one monograph and more than 100 international journal and conference papers. His current research interests include intelligent control, adaptive parameter estimation, nonlinear control.
Affiliations and expertise
Professor, Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, ChinaQC
Qiang Chen
Qiang Chen received his MSc degree in Measurement and Control Technology and Instrumentation from Hebei Agricultural University, Baoding, China, in 2006, and his PhD in Control Science and Engineering from the Beijing Institute of Technology, Beijing, China, in 2012. Since then, he has been with the School of Information Engineering at Zhejiang University of Technology, Hangzhou, China, where he is currently a Professor. His research interests include adaptive control and iterative learning control, with a focus on applications in motion control systems.
Affiliations and expertise
Professor, Deputy Dean of the Graduate School, and Director of the Provincial Experimental Teaching Center for Electronic Information, School of Information Engineering, Zhejiang University of Technology, Xihu District, Hangzhou, Zhejiang, ChinaXR
Xuemei Ren
Xuemei Ren received her B.S. degree from Shandong University, Shandong, China, in 1989, and M.S. and Ph.D. degrees in control engineering from the Beijing University of Aeronautics and Astronautics, Beijing, China, in 1992 and 1995, respectively. She worked at the School of Automation, Beijing Institute of Technology as a professor from 2002. She has published more than 100 academic papers. Her research interests include nonlinear systems, intelligent control, neural network control, adaptive control, multi- drive servo systems and time delay systems.
Affiliations and expertise
Professor, School of Automation, Beijing Institute of Technology, Beijing, ChinaRead Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics on ScienceDirect