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" Nonlinear control and filtering for stochastic networked systems / "
Lifeng Ma, Zidong Wang, Yuming Bo.
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BL
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| Record Number
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841908
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| Main Entry
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Ma, Lifeng
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| Title & Author
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Nonlinear control and filtering for stochastic networked systems /\ Lifeng Ma, Zidong Wang, Yuming Bo.
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| Publication Statement
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Boca Raton :: CRC Press,, 2019.
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, ©2019
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| Page. NO
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1 online resource (xv, 226 pages) :: illustrations (black and white)
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| ISBN
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0429426755
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: 0429761910
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: 0429761929
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: 0429761937
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: 9780429426759
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: 9780429761911
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: 9780429761928
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: 9780429761935
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113838657X
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9781138386570
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Introduction -- Robust H∞ sliding mode control for nonlinear stochastic systems with multiple data packet losses -- Sliding mode control for a class of nonlinear discrete-time networked systems with multiple stochastic communication delays -- Sliding mode control for nonlinear networked systems with stochastic communication delays -- Reliable H∞ control for a class of nonlinear time-varying stochastic systems with randomly occurring sensor failures -- Event-triggered mean square consensus control for time-varying stochastic multi-agent system with sensor saturations -- Mean-square H∞ consensus control for a class of nonlinear time-varying stochastic multi-agent systems: the finite-horizon case -- Consensus control for nonlinear multi-agent systems subject to deception attacks -- Distributed event-based set-membership filtering for a class of nonlinear systems with sensor saturations over sensor networks --Variance-constrained distributed filtering for time-varying systems with multiplicative noises and deception attacks over sensor networks.
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| Abstract
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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 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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Filters (Mathematics)
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Nonlinear control theory.
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Stochastic systems.
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Filters (Mathematics)
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Nonlinear control theory.
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SCIENCE-- System Theory.
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Stochastic systems.
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TECHNOLOGY ENGINEERING-- Operations Research.
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| Dewey Classification
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003.76
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| LC Classification
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QA402.M287 2019eb
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| Added Entry
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Bo, Yuming
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Wang, Zidong,1966-
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