Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities

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 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 H8 state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly occurring coupling delays Addresses the H8 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.

Table of Contents:
Introduction. Robust Stabilization for Stochastic Time-Delay Interval Systems. Robust H∞ Control for Markov Systems with Nonlinear Disturbance. H∞ Filtering and Control for Markov Systems with Sensor Nonlinearities. H∞ Analysis for Stochastic Differential Systems by Razumikhin Theory. Robust Filtering with Nonlinearities and Multiple Missing Measurements. Probability-Dependent Control with Randomly Occurring Nonlinearities. Probability-Dependent Filtering with Missing Measurements. Controller Design for 2-D Stochastic Nonlinear Roesser Model. Filtering for Networked Control Systems with Multiple Delays. State Estimation for Stochastic Delayed Gene Regulatory Networks. State Estimation for Complex Networks with ROCD. H∞ Synchronization for Complex Networks with RVN.