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Non-monotonic Approach to Robust H8 Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H8 state feedback control, H8 filtering and H8 output feedback control for…mehr

Produktbeschreibung
Non-monotonic Approach to Robust H8 Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H8 state feedback control, H8 filtering and H8 output feedback control for multi-model systems via a non-monotonic LF approach.

The book's authors provide illustrative examples to show the feasibility and efficiency of the proposed methods, along with practical examples that demonstrate the effectiveness and potential of theoretical results.
Autorenporträt
Jiwei Wen received his Ph.D. degree in Control Science and Control Engineering from Jiangnan University, Wuxi, China, in 2011. From 2015 to 2016, he was a visiting scholar with the Department of Electrical and Computer Engineering, University of Auckland. Currently, he is an associate professor of School of Internet of Things Engineering, Jiangnan University, Wuxi, China. He is also a researcher in the Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Wuxi, China. His research interests include non-monotonic filtering and control approach, stochastic switched system, model predictive control and T-S fuzzy modelling and control. He has/had served as reviewer of a number of international journals. He is an Associate Editor of the International Journal of Sensors, Wireless Communications and Control.

Alireza Nasiri holds a PhD degree from the University of Auckland, New Zealand. He is currently Assistant Professor in the Department of Electrical and Computer Engineering at Hormozgan University and vice president of Hormozgan Science and Technology Park, Iran. He received his B.Sc. and M.Sc. degrees in electrical engineering from the University of Tehran and Iran University of Science and Technology, respectively. His research interests are nonlinear control, fuzzy control, H8 control, active noise control and fault tolerant control.

Sing Kiong Nguang is a professor with the Department of Electrical and Computer Engineering at the University of Auckland, Auckland, New Zealand. He received the B.E. (with first class honors) and the Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Newcastle, Callaghan, Australia, in 1992 and 1995, respectively. He has published over 300 refereed journal and conference papers on nonlinear control design, nonlinear control systems, nonlinear time delay systems, nonlinear sampled-data systems, networked control systems, biomedical systems modelling, fuzzy modeling and control, biological systems modelling and control, and food and bio-product processing. He has/had served on the editorial board of a number of international journals. He is the Chief-Editor of the International Journal of Sensors, Wireless Communications and Control.