
Nonlinear Control and Filtering for Stochastic Networked Systems
CRC Press
1st Edition
Published on 13. December 2018
Book
Hardback
242 pages
978-1-138-38657-0 (ISBN)
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
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
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional Practice & Development
Illustrations
51 s/w Abbildungen, 4 s/w Tabellen
4 Tables, black and white; 51 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
534 gr
ISBN-13
978-1-138-38657-0 (9781138386570)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Lifeng Ma | Zidong Wang | Yuming Bo
Nonlinear Control and Filtering for Stochastic Networked Systems
Book
09/2020
1st Edition
CRC Press
€76.50
Shipment within 15-20 days

Lifeng Ma | Zidong Wang | Yuming Bo
Nonlinear Control and Filtering for Stochastic Networked Systems
E-Book
12/2018
1st Edition
CRC Press
€56.49
Available for download

Lifeng Ma | Zidong Wang | Yuming Bo
Nonlinear Control and Filtering for Stochastic Networked Systems
E-Book
12/2018
1st Edition
CRC Press
€56.49
Available for download
Persons
Lifeng Ma, Zidong Wang, Yuming Bo
Author
Nanjing University of Science and Technology, Nanjing, China
Brunel University, London, United Kingdom.
Nanjing University of Science and Technology, Nanjing, China
Content
1 Introduction. 2 Robust H1 Sliding Mode Control for Nonlinear Stochastic Systems with Multiple Data Packet Losses. 3 Sliding Mode Control for a Class of Nonlinear Discrete-Time Networked Systems with Multiple Stochastic Communication Delays. 4 Sliding Mode Control for Nonlinear Networked Systems with Stochastic Communication Delays. 5 Reliable H1 Control for A Class of Nonlinear Time-Varying Stochastic Systems with Randomly Occurring Sensor Failures. 6 Event-Triggered Mean Square Consensus Control for Time-Varying Stochastic Multi-Agent System with Sensor Saturations. 7 Mean-Square H1 Consensus Control for A Class of Nonlinear Time-Varying Stochastic Multi-Agent Systems: The Finite-Horizon Case. 8 Consensus Control for Nonlinear Multi-Agent Systems Subject to Deception Attacks. 9 Distributed Event-Based Set-Membership Filtering for A Class of Nonlinear Systems with Sensor Saturations over Sensor Networks. 10 Variance-Constrained Distributed Filtering for Time varying Systems with Multiplicative Noises and Deception Attacks over Sensor Networks. 11 Conclusions and Future Topics. Bibliography. Index.