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Event-Based State Estimation

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Event-Based State Estimation Synopsis

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.

 

About This Edition

ISBN: 9783319266046
Publication date:
Author: Dawei Shi, Ling Shi, Tongwen Chen
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 208 pages
Series: Studies in Systems, Decision and Control
Genres: Automatic control engineering
Cybernetics and systems theory
Stochastics
Electrical engineering
Probability and statistics