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Nonlinear Control and Filtering for Stochastic Networked Systems (Paperback)
Loot Price: R1,532
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Nonlinear Control and Filtering for Stochastic Networked Systems (Paperback)
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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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