Estimation and control over communication networks
Author(s)
Bibliographic Information
Estimation and control over communication networks
（Control engineering / series editor, William S. Levine）
Birkhäuser, c2009
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Note
Includes bibliographical references (p. [519]-530) and index
Description and Table of Contents
Description
This book presents a systematic theory of estimation and control over communication networks. It develops a theory that utilizes communications, control, information and dynamical systems theory motivated and applied to advanced networking scenarios. The book establishes theoretically rich and practically important connections among modern control theory, Shannon information theory, and entropy theory of dynamical systems originated in the work of Kolmogorov.
This self-contained monograph covers the latest achievements in the area. It contains many real-world applications and the presentation is accessible.
Table of Contents
Preface
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-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
Appendix A: Proof of Proposition 7.6.13
Appendix B: Some Properties of Square Ensembles of Matrices
Appendix C: Discrete Kalman Filter and Linear-Quadratic Gaussian Optimal Control Problem
Appendix D: Some Properties of the Joint Entropy of a Random Vector and Discrete Quantity
References
Index
by "Nielsen BookData"
