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