Event-Based State Estimation : A Stochastic Perspective (Studies in Systems, Decision and Control)

Shi, Dawei/ Shi, Ling/ Chen, Tongwen

Springer International Publishing AG（2015/12発売）

• 製本 Hardcover:ハードカバー版／ページ数 208 p.
• 言語 ENG
• 商品コード 9783319266046

Full Description

This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed.

The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. 

This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications.

 

Contents

Introduction.- Linear Gaussian Systems and Event-Based State Estimation.- Event-Triggered Sampling.- Approximate Optimal Filtering Approaches.- Constrained Optimization Approach.- Set-Valued Filtering Approach.- Probabilistic Approach.- Communications Rate Analysis.- Open Problems.- Appendices: Brief Review of Probability Theory; Linear Estimation Theory.