Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities

<p><strong>Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities</strong> 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:</p><p></p><ul> <br><br><li>Discusses the robust stability and stabilization problems for a class of stochastic time-delay interval systems with nonlinear disturbances</li> <br><br><li>Investigates the robust stabilization and <em>H∞</em> control problems for a class of stochastic time-delay uncertain systems with Markovian switching and nonlinear disturbances</li> <br><br><li>Explores the <i>H∞</i> state estimator and <i>H∞</i> output feedback controller design issues for stochastic time-delay systems with nonlinear disturbances sensor nonlinearities and Markovian jumping parameters</li> <br><br><li>Analyzes the <i>H∞</i> performance for a general class of nonlinear stochastic systems with time delays where the addressed systems are described by general stochastic functional differential equations</li> <br><br><li>Studies the filtering problem for a class of discrete-time stochastic nonlinear time-delay systems with missing measurement and stochastic disturbances</li> <br><br><li>Uses gain-scheduling techniques to tackle the probability-dependent control and filtering problems for time-varying nonlinear systems with incomplete information</li> <br><br><li>Evaluates the filtering problem for a class of discrete-time stochastic nonlinear networked control systems with multiple random communication delays and random packet losses</li> <br><br><li>Examines the filtering problem for a class of nonlinear genetic regulatory networks with state-dependent stochastic disturbances and state delays</li> <br><br><li>Considers the <i>H∞</i> state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly occurring coupling delays</li> <br><br><li>Addresses the <i>H∞</i> synchronization control problem for a class of dynamical networks with randomly varying nonlinearities</li> </ul><p></p><p><b>Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities </b>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.</p>