UID:
almafu_9960178696202883
Format:
1 online resource (231 pages) :
,
illustrations (chiefly color).
ISBN:
3-030-97075-2
Series Statement:
Studies in systems, decision and control ; Volume 428
Content:
This book establishes a unified framework for dealing with typical engineering complications arising in modern, complex, large-scale networks such as parameter uncertainties, missing measurement and cyber-attack. Distributed Filtering, Control and Synchronization is a timely reflection on methods designed to handle a series of control and signal-processing issues in modern industrial engineering practice in areas like power grids and environmental monitoring. It exploits the latest techniques to handle the emerging mathematical and computational challenges arising from, among other things, the dynamic topologies of distributed systems and in the context of sensor networks and multi-agent systems. These techniques include recursive linear matrix inequalities, local-performance and stochastic analyses and techniques based on matrix theory. Readers interested in the theory and application of control and signal processing will find much to interest them in the new models and methods presented in this book. Academic researchers can find ideas for developing their own research, graduate and advanced undergraduate students will be made aware of the state of the art, and practicing engineers will find methods for addressing practical difficulties besetting modern networked systems.
Note:
Intro -- Preface -- Acknowledgements -- Contents -- List of Notation -- 1 Introduction -- 1.1 Research Background, Motivations and Research Problems -- 1.1.1 Distributed Filtering -- 1.1.2 Distributed Consensus Control -- 1.1.3 Bounded Synchronization and Filtering -- 1.2 Systems, Measurements, Protocols, and Cyber-Attacks -- 1.3 The Challenges -- 1.3.1 The Large-Scale Characteristic -- 1.3.2 The Dynamic Topology -- 1.3.3 The Scalability Requirement of Distributed Algorithm -- 1.4 The Local Performance Analysis Method -- 1.4.1 The Vector Dissipativity Theory -- 1.4.2 Local Performance Analysis Method -- 1.5 Outline -- References -- 2 Distributed Hinfty Filtering for Discrete-Time Piecewise Linear Systems -- 2.1 Problem Formulation -- 2.2 Main Results -- 2.3 An Illustrative Example -- 2.4 Summary -- References -- 3 Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements -- 3.1 Problem Formulation -- 3.2 Main Results -- 3.3 An Illustrative Example -- 3.4 Summary -- References -- 4 Distributed Filtering for Random Parameter System with Event-Triggering Protocols -- 4.1 Problem Formulation -- 4.2 Main Results -- 4.3 An Illustrative Example -- 4.4 Summary -- Reference -- 5 Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol -- 5.1 Problem Formulation -- 5.2 Main Results -- 5.3 An Illustrative Example -- 5.4 Summary -- References -- 6 Partial-Nodes-Based Scalable Hinfty-Consensus Filtering with Censored Measurements -- 6.1 Problem Formulation -- 6.2 Main Results -- 6.3 An Illustrative Example -- 6.4 Summary -- References -- 7 Distributed Hinfty-Consensus Filtering over Sensor Networks Under Deception Attacks -- 7.1 Problem Formulation -- 7.2 Main Results -- 7.3 An Illustrative Example -- 7.4 Summary -- References.
,
8 Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations -- 8.1 Problem Formulation -- 8.2 Distributed Resilient Filtering over Sensor Networks -- 8.3 Performance Analysis and Distributed Optimization -- 8.4 An Illustrative Example -- 8.5 Summary -- References -- 9 Finite-Horizon Hinfty-Consensus Control for Multi-agent Systems with Random Parameters -- 9.1 Problem Formulation -- 9.2 Analysis of Distributed Hinfty-Consensus Control Based on Local Disagreement Function -- 9.3 An Illustrative Example -- 9.4 Summary -- References -- 10 Bounded Hinfty Synchronization and Hinfty Filtering for Discrete-Time Complex Networks -- 10.1 Problem Formulation of Bounded Hinfty Synchronization -- 10.2 Bounded Hinfty Synchronization for Discrete Time-Varying Complex Networks -- 10.3 Problem Formulation of Finite-Horizon Hinfty Filtering -- 10.4 Finite-Horizon Hinfty Filtering for Complex Networks -- 10.5 Illustrative Examples -- 10.6 Summary -- References -- 11 Conclusions and Future Work -- 11.1 Conclusions -- 11.2 Future Work -- Index.
,
English
Additional Edition:
Print version: Han, Fei Distributed Filtering, Control and Synchronization Cham : Springer International Publishing AG,c2022 ISBN 9783030970741
Language:
English
