Distributed Filtering, Control and Synchronization
Local Performance Analysis Methods
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Beschreibung
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
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 systemsEquips readers to handle many common engineering-oriented phenomena in networked and distributed systems Provides simulation examples that reflect engineering practice and exemplify the book’s theoretical focus and approach Has simple, clear, and easy to read presentation that makes the book suitable for students, researchers, and engineers
Autor*in
Fei Han
Themen in »Distributed Filtering, Control and Synchronization«
Distributed Filtering Distributed Control H-infinity Consensus Communication Protocols Cyber-attacks Time-Delayed Systems Imperfect Measurements Resilient Filtering Stochastic Nonlinearities
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“This book is a nice research monograph for graduate and postgraduate students as well as researchers. It is well organized and serves as both a summary of the recent research results and a source of further research directions.” (Qi Lu, zbMATH 1494.93003, 2022)
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