This book reports on the latest findings concerning nonlinear control theory and applications. It presents novel work on several kinds of commonly encountered nonlinear time-delay systems, including those whose nonlinear terms satisfy high-order polynomial form or general nonlinear form, those with nonlinear input or a triangular structure, and so on. As such, the book will be of interest to university researchers, R&D engineers and graduate students in the fields of control theory and control engineering who wish to learn about the core principles, methods, algorithms, and applications of nonlinear time-delay systems.

Considers the majority of commonly encountered nonlinear systems Offers the most comprehensive designing method for control strategy Includes a wealth of numerical examples and sample practical applications Includes supplementary material: sn.pub/extras

Autorentext

Changchun Hua received the Ph.D degree in electrical engineering from Yanshan University, Qinhuangdao, China, in 2005. He was a research Fellow in National University of Singapore from 2006 to 2007. From 2007 to 2009, he worked in Carleton University, Canada, funded by Province of Ontario Ministry of Research and Innovation Program. From 2009 to 2011, he worked in University of Duisburg Essen, Germany, funded by Alexander von Humboldt Foundation. Now he is a full Professor in Yanshan University, China. He is the author or coauthor of more than 110 papers in mathematical, technical journals, and conferences. He has been involved in more than 10 projects supported by the National Natural Science Foundation of China, the National Education Committee Foundation of China, and other important foundations. His research interests are in nonlinear control systems, control systems design over network, teleoperation systems and intelligent control. Liuliu Zhang received herB.Sc. degree in electrical engineering from Yanshan University, Qinhuangdao, China, in 2012. She is currently working toward the Ph.D degree in electrical engineering. Her research interests is in nonlinear time-delay system control, multi-agent systems. Xinping Guan received the B.S. degree in mathematics from Harbin Normal University, Harbin, China, and the M.S. degree in applied mathematics and the Ph.D. degree in electrical engineering, both from Harbin Institute of Technology, in 1986, 1991, and 1999, respectively. He is with the Department of Automation, Shanghai Jiao Tong University. He is the (co)author of more than 200 papers in mathematical, technical journals, and conferences. As (a)an (co)-investigator, he has finished more than 20 projects supported by National Natural Science Foundation of China (NSFC), the National Education Committee Foundation of China, and other important foundations. He is Cheung Kong Scholars Programme Special appointment professor. His current research interests include networked control systems, robust control and intelligent control for complex systems and their applications. Dr. Guan is serving as a Reviewer of Mathematic Review of America, a Member of the Council of Chinese Artificial Intelligence Committee, and Chairman of Automation Society of Hebei Province, China.

Inhalt
Introduction.- Part I High-order polynomial form.- Robust Stabilization of a Class of Nonlinear Time-delay Systems.- Robust Model Reference Adaptive Control for Interconnected Time-delay Systems.- Part II General Nonlinear Uncertainties.- Decentralized Adaptive Control for Interconnected Systems with Time Delays.- Memoryless State Feedback Control for Uncertain Nonlinear Time Delay Systems.- Exponential Stabilization Controller Design for Interconnected Time Delay Systems.- Robust Adaptive Control for Time Delay Systems via T-S Fuzzy Approach.- Part III Nonlinear Input.- Adaptive Tracking Control for Time Delay Systems with Unknown Dead-zone Input.- Decentralized Networked Control System Design using T-S Fuzzy Approach.- Part IV Lower triangular structure.- Robust Control for a Class of Time Delay Systems via Backstepping Method.- Backstepping Control for Nonlinear Systems with Time Delays and Applications to Chemical Reactor Systems.- Robust Output Feedback Tracking Control for Time Delay Nonlinear Systems Using Neural Network .- Output Feedback Stabilization for Time Delay Nonlinear Interconnected Systems Using Neural Networks.- Adaptive Fuzzy Output Feedback Controller Design for Nonlinear Time Delay Systems with Unknown Control Direction.- Decentralized Output Feedback Adaptive NN Tracking Control for Time-Delay Stochastic Nonlinear Systems with Prescribed Performance.