Crc Press Nonlinear Control And Filtering For Stochastic Networked Systems 09780367656867
Ā£38.39
Product Description
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 | Nonlinear Control and Filtering for Stochastic Networked Systems
Crc Press Nonlinear Control And Filtering For Stochastic Networked Systems 09780367656867
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 | Nonlinear Control and Filtering for Stochastic Networked Systems
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