This book, written by experts in the field, is based on the latest research on the analysis and synthesis of switched time-delay systems. It covers the stability, filtering, fault detection and control problems, which are studied using the average dwell time approach. It presents both the continuous-time and discrete-time systems and provides useful insights and methods, as well as practical algorithms that can be considered in other complex systems, such as neuron networks and genetic regulatory networks, making it a valuable resource for researchers, scientists and engineers in the field of system sciences and control communities.
Dr. Dan Zhang received the B.S. and Ph.D. degrees from Zhejiang University of Technology, Hangzhou, China, in 2007 and 2012, respectively. He is currently an Associate Professor at the College of Information Engineering, Zhejiang University of Technology. His research interests include networked control systems and hybrid systems. He has published several papers in international conferences and reputed journals in his research area. Dr. Zhang is now serving as an Associate Editor of Neurocomputing.
Dr. Li Yu received the B.S. degree in control theory from Nankai University, Tianjin, China, in 1982, then the Ph.D. degrees from Zhejiang University, Hangzhou, China. He is currently a Professor at the College of Information Engineering, Zhejiang University of Technology. He has authored or coauthored five books and over 200 journal or conference papers. His research interests include robust control, time-delay systems, and networked control systems.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, written by experts in the field, is based on the latest research on the analysis and synthesis of switched time-delay systems. It covers the stability, filtering, fault detection and control problems, which are studied using the average dwell time approach. It presents both the continuous-time and discrete-time systems and provides useful insights and methods, as well as practical algorithms that can be considered in other complex systems, such as neuron networks and genetic regulatory networks, making it a valuable resource for researchers, scientists and engineers in the field of system sciences and control communities. Artikel-Nr. 9789811311284
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