This self-contained book, written by leading experts, offers a cutting-edge, in-depth overview of the filtering and control of wireless networked systems. It addresses the energy constraint and filter/controller gain variation problems, and presents both the centralized and the distributed solutions. The first two chapters provide an introduction to networked control systems and basic information on system analysis. Chapters (36) then discuss the centralized filtering of wireless networked systems, presenting different approaches to deal with energy efficiency and filter/controller gain variation problems. The next part (chapters 710) explores the distributed filtering of wireless networked systems, addressing the main problems of energy constraint and filter gain variation. The final part (chapters 1114) focuses on the distributed control of wireless networked systems.

In view of the rapid deployment and development of wireless networked systems for communication and control applications, the book represents a timely contribution and provides valuable insights, useful methods and effective algorithms for the analysis and design of wireless networked control systems. It is a valuable resource for researchers in the control and communication communities

Provides timely, comprehensive and self-contained coverage of the latest advances in filtering and control of networked systems Addresses the energy constraint and filter/controller gain variation problems with both the centralized and distributed solutions Provides valuable knowledge, useful methods and practical algorithms that can be used in emerging future smart industrial systems Includes supplementary material: sn.pub/extras

Inhalt
Introduction.- Fundamentals.- H ltering with time-varying transmissions.- H ltering with energy constraint and stochastic gain variations.- H Filtering with Stochastic Signal Transmissions.- H ltering with stochastic sampling and measurement size reduction.- Distributed ltering with communication reduction.- Distributed ltering with stochastic sampling.- Distributed ltering with random lter gain variations.- Distributed ltering with measurement size reduction and lter gain variations.- Distributed control with controller gain variations.- Distributed control with measurement size reduction and random fault.- Distributed control with communication reduction.- Distributed control with event-based communication and topology switching