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NONLINEAR CONTROL AND FILTERING FOR STOCHASTIC NETWORKED SYS IBD

LIFENG MA / YUMING BO / ZIDONG WANG
CRC PRESS
09 / 2020
9780367656867
Inglés

Sinopsis

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.Key FeaturesUnifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexitiesIncludes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems)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 challengesCaptures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspectiveGives simulation examples in each chapter to reflect the engineering practice