Nonlinear Control and Filtering for Stochastic Networked Systems

di Lifeng Ma (Autore)

Zidong Wang (Autore)

Yuming Bo (Autore)

Taylor & Francis Ltd, 2020

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

• Autore: Lifeng Ma, Zidong Wang, Yuming Bo
• Editore: Taylor & Francis Ltd
• Anno: 2020
• Rilegatura: Paperback / softback
• Pagine: 226 p.
• Dimensioni: 234 x 156 mm
• Peso: 453 gr.
• EAN: 9780367656867

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