Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics (Emerging Methodologies and Applications in Modelling, Identification and Control)

Na, Jing; Chen PhD, Qiang; Ren, Xuemei

ISBN 10: 0128136839 / ISBN 13: 9780128136836

Edité par Academic Press, 2018

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N° de réf. du vendeur ria9780128136836_new

Détails bibliographiques

• Titre: Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics (Emerging Methodologies and Applications in Modelling, Identification and Control)
• Éditeur: Academic Press
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 0128136839
• ISBN à 13 chiffres: 9780128136836
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

Adaptive 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.

À propos des auteurs

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.

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.

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.