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  • © 2009

Estimation and Control over Communication Networks

Birkhäuser
  • First book that attempts to present a systematic theory of estimation and control over communication networks, an increasingly active area of research
  • Addresses a class of problems that is quickly increasing due to the growing use of communication networks and large numbers of sensors, which may become the most important area of control theory in the near future
  • Many real-world applications: limited capacity communication channels, noisy discrete channels, systems with disturbances, irregular transmission times, and switched sensors
  • Offers accessible mathematical models and results for advanced postgraduate students, researchers, and practitioners working in the areas of control engineering, communications, information theory, signal processing, and applied mathematics

Part of the book series: Control Engineering (CONTRENGIN)

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Table of contents (15 chapters)

  1. Front Matter

    Pages 1-14
  2. Introduction

    • Alexey S. Matveev, Andrey V. Savkin
    Pages 1-12
  3. H1 State Estimation via Communication Channels

    • Alexey S. Matveev, Andrey V. Savkin
    Pages 1-5
  4. Optimal Computer Control via Asynchronous Communication Channels

    • Alexey S. Matveev, Andrey V. Savkin
    Pages 1-42
  5. Robust Kalman State Estimation with Switched Sensors

    • Alexey S. Matveev, Andrey V. Savkin
    Pages 1-11
  6. Back Matter

    Pages 1-28

About this book

Although there is an emerging literature on the topic, this is the first book that attempts to present a systematic theory of estimation and control over communication networks. Using several selected problems of estimation and control over communication networks, the authors present and prove a number of results concerning optimality, stability, and robustness having practical significance for networked control system design. In particular, various problems of Kalman filtering, stabilization, and optimal control over communication channels are considered and solved. The results establish fundamental links among mathematical control theory, Shannon information theory, and entropy theory of dynamical systems.

This essentially self-contained monograph offers accessible mathematical models and results for advanced postgraduate students, researchers, and practitioners working in the areas of control engineering, communications, information theory, signal processing, and applied mathematics.

Reviews

From the reviews:

"The first book that attempts to presents a systematic theory of estimation and control over communication networks. … The book is an excellent up-to-date resource of working knowledge with long-term evidence in the field. The text can serve also as a useful reference book about this challenging research topic. The monograph is intended for researchers, practitioners, postgraduate students, and all professionals … interested in the emerging subject of networked control systems." (Lubomír Bakule, Zentralblatt MATH, Vol. 1165, 2009)

“This book is a research monograph that is concerned with problems of control and state estimation over communication networks. The book begins with an introduction that outlines the main problems that will be addressed in the book. … Overall, the book presents a range of new results in the area of control and state estimation via communication networks.”­­­ (Ian Petersen, Mathematical Reviews, Issue 2010 g)

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access