Nonlinear Control and Filtering for Stochastic Networked Systems

<p>In this book control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter the stability robustness reliability consensus performance and/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally the theories/techniques developed are applied to emerging research areas.</p><p>Key Features</p><p></p><ul> <br><br><p></p> <li>Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities</li> <br><br> <br><br><p></p> <li>Includes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems)</li> <br><br> <br><br><p></p> <li>Exploits the recursive linear matrix inequality approach completing the square method Hamilton-Jacobi inequality approach and parameter-dependent matrix inequality approach to handle the emerging mathematical/computational challenges</li> <br><br> <br><br><p></p> <li>Captures recent advances of theories techniques and applications of stochastic control as well as filtering from an engineering-oriented perspective</li> <br><br> <br><br><p></p> <li>Gives simulation examples in each chapter to reflect the engineering practice</li> <br><br> </ul>