Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

<p>The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences control engineering and signal processing areas. Therefore it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact.</p><p>Key Features</p><p></p><ul> <br><br><p></p> <li>Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities</li> <br><br> <br><br><p></p> <li>Gives results of stochastic control and filtering distributed control and filtering and security control of complex networked systems</li> <br><br> <br><br><p></p> <li>Captures the essence of performance analysis and synthesis for stochastic control and filtering</li> <br><br> <br><br><p></p> <li>Concepts and performance indexes proposed reflect the requirements of engineering practice</li> <br><br> <br><br><p></p> <li>Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability</li> <br><br> </ul>