Estimation And Control over Communication

"Rapid advances in communication technology have created the possibility of large-scale control systems with distribution of control tasks among several processors via communication channels. Such control systems may be distributed over large distances and may use large numbers of actuators and sensors. The possibility of such networked control systems has motivated the development of a new chapter in control theory in which control and communication issues are integrated, and all the limitations of communication channels are considered." "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 who have an interest in the emerging field of networked control systems."--BOOK JACKET.

Introduction
Topological Entropy, Observability, Robustness, Stabilizability, and Optimal Control
Stabilization of Linear Multiple Sensor Systems via Limited Capacity Communication Channels
Detectability and Output Feedback Stabilizability of Nonlinear Systems via Limited Capacity Communication Channels
Robust Set-Valued State Estimation via Limited Capacity Communication Channels
An Analog of Shannon Information Theory: State Estimation and Stabilization of Linear Noiseless Plants via Noisy Discrete Channels
An Analog of Shannon Information Theory: State Estimation and Stabilization of Linear Noisy Plants via Noisy Discrete Channels
An Analog of Shannon Information Theory: Stable in Probability Control and State Estimation of Linear Noisy Plants via Noisy Discrete Channels
Decentralized Stabilization of Linear Systems via Limited Capacity Communication Networks
H[superscript [infinity]] State Estimation via Communication Channels
Kalman State Estimation and Optimal Control Based on Asynchronously and Irregularly Delayed Measurements
Optimal Computer Control via Asynchronous Communication Channels
Linear-Quadratic Gaussian Optimal Control via Limited Capacity Communication Channels
Kalman State Estimation in Networked Systems with Asynchronous Communication Channels and Switched Sensors
Robust Kalman State Estimation with Switched Sensors
Proof of Proposition 7.6.13
Some Properties of Square Ensembles of Matrices
Discrete Kalman Filter and Linear-Quadratic Gaussian Optimal Control Problem
Some Properties of the Joint Entropy of a Random Vector and Discrete Quantity
References
Index
Table of Contents provided by Blackwell. All Rights Reserved.

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Estimation And Control over Communication Networks

Summary

Table of Contents

Supplemental Materials