Nonlinear Control And Filtering For Stochastic Networked Systems

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Nonlinear Control and Filtering for Stochastic Networked Systems

Nonlinear Control and Filtering for Stochastic Networked Systems
Author :
Publisher : CRC Press
Total Pages : 243
Release :
ISBN-10 : 9780429761935
ISBN-13 : 0429761937
Rating : 4/5 (937 Downloads)

Book Synopsis Nonlinear Control and Filtering for Stochastic Networked Systems by : Lifeng Ma

Download or read book Nonlinear Control and Filtering for Stochastic Networked Systems written by Lifeng Ma and published by CRC Press. This book was released on 2018-12-07 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Features Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities Includes 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 challenges Captures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective Gives simulation examples in each chapter to reflect the engineering practice


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