Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities (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 the, 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 state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly occurring coupling delays, Addresses the 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. Book jacket.

• | Author: Guoliang. Wei, Zidong Wang, Wei Qian
• | Publisher: Crc Press
• | Publication Date: Jun 30, 2020
• | Number of Pages: 250 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0367574586
• | ISBN-13: 9780367574581