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Informationen zum Autor Guoliang Wei received his Ph.D in control engineering from Donghua University, Shanghai, China. He is currently a professor in the Department of Control Science and Engineering at the University of Shanghai for Science and Technology, China. He has conducted and assisted in research at the University of Duisburg–Essen, Germany; Brunel University, Uxbridge, UK; University of Hong Kong; and City University of Hong Kong. His research interests include nonlinear systems, stochastic systems, and bioinformatics. He is an active reviewer of, and has published more than 20 papers in, international journals. Zidong Wang received his Ph.D in electrical and computer engineering from Nanjing University of Science and Technology, China. He is currently a professor of dynamical systems and computing at Brunel University London, UK. He has conducted research at Ruhr-University Bochum, Germany and Coventry University, UK; and lectured at the University of Kaiserslautern, Germany. His research interests include dynamical systems, signal processing, bioinformatics, and control theory and applications. Widely published and highly decorated, Professor Wang is a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and an active reviewer and editor of international journals. Wei Qian received his Ph.D from the College of Control Science and Engineering at Zhejiang University, Hangzhou, China, and conducted research in the college’s State Key Laboratory of Industrial Control Technology. He is currently an associate professor in the School of Electrical Engineering and Automation at Henan Polytechnic University, Jiaozuo, China. His research interests include time-delay systems, stochastic systems, and networked control systems. Klappentext This book presents a series of control and filtering approaches for stochastic systems with traditional and emerging engineering-oriented complexities. Each chapter includes investigations of stability, robust performance, reliability, and/or disturbance attenuation. The text describes novel methodologies that can be applied extensively in lab simulations, field experiments, and real-world engineering practices to address challenges such as random delays, randomly occurring nonlinearities, time-variant nonlinearities, and more. Thus, this book provides a valuable reference for researchers and professionals in the signal processing and control engineering communities. Zusammenfassung Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for stochastic systems with traditional and emerging engineering-oriented complexities. The book begins with an overview of the relevant background, motivation, and research problems, and then: Discusses the robust stability and stabilization problems for a class of stochastic time-delay interval systems with nonlinear disturbances Investigates the robust stabilization and H8 control problems for a class of stochastic time-delay uncertain systems with Markovian switching and nonlinear disturbances Explores the H8 state estimator and H8 output feedback controller design issues for stochastic time-delay systems with nonlinear disturbances, sensor nonlinearities, and Markovian jumping parameters Analyzes the H8 performance for a general class of nonlinear stochastic systems with time delays, where the addressed systems are described by general stochastic functional differential equations Studies the filtering problem for a class of discrete-time stochastic nonlinear time-delay systems with missing measurement and stochastic disturbances Uses gain-scheduling techniques to tackle the probability-dependent control and filtering problems for time-varying non...
