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Nonlinear Control and Filtering for Stochastic Networked Systems
Lifeng Ma, Zidong Wang, Yuming Bo
Livre broché | Anglais
64,95 €
+ 129 points
Format
Description
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
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 226
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9780367656867
- Date de parution :
- 30-09-20
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 344 g
