Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities

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Guoliang Wei Zidong Wang

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities

Guoliang Wei, Zidong Wang, Wei Qian

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English

CRC Press
30 June 2020

Differential calculus & equations; Power generation & distribution; Communications engineering & telecommunications; Environmental science, engineering & technology

Series: Engineering Systems and Sustainability

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 H∞ control problems for a class of stochastic time-delay uncertain systems with Markovian switching and nonlinear disturbances

Explores the H∞ state estimator and H∞ output feedback controller design issues for stochastic time-delay systems with nonlinear disturbances, sensor nonlinearities, and Markovian jumping parameters

Analyzes the H∞ 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 nonlinear systems with incomplete information

Evaluates the filtering problem for a class of discrete-time stochastic nonlinear networked control systems with multiple random communication delays and random packet losses

Examines the filtering problem for a class of nonlinear genetic regulatory networks with state-dependent stochastic disturbances and state delays

Considers the H∞ state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly occurring coupling delays

Addresses the H∞ synchronization control problem for a class of dynamical networks with randomly varying nonlinearities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities describes novel methodologies that can be applied extensively in lab simulations, field experiments, and real-world engineering practices. Thus, this text provides a valuable reference for researchers and professionals in the signal processing and control engineering communities.

By: Guoliang Wei, Zidong Wang, Wei Qian
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9780367574581
ISBN 10: 0367574586
Series: Engineering Systems and Sustainability
Pages: 250
Publication Date: 30 June 2020
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

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.