1st Edition

Nonlinear Control and Filtering for Stochastic Networked Systems

ISBN 9780367656867
Published September 30, 2020 by CRC Press
242 Pages

USD $56.95

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Book 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

Table of Contents

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.

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