Nonlinear Control and Filtering for Stochastic Networked Systems

Nonfiction, Science & Nature, Mathematics, Differential Equations, Technology, Electricity
Cover of the book Nonlinear Control and Filtering for Stochastic Networked Systems by Lifeng Ma, Zidong Wang, Yuming Bo, CRC Press
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Author: Lifeng Ma, Zidong Wang, Yuming Bo ISBN: 9780429761928
Publisher: CRC Press Publication: December 7, 2018
Imprint: CRC Press Language: English
Author: Lifeng Ma, Zidong Wang, Yuming Bo
ISBN: 9780429761928
Publisher: CRC Press
Publication: December 7, 2018
Imprint: CRC Press
Language: English

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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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

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