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Event-Based State Estimation

A Stochastic Perspective

Event-Based State Estimation by Dawei Shi
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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.

 

Springer International Publishing; November 2015
215 pages; ISBN 9783319266060
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Title: Event-Based State Estimation
Author: Dawei Shi; Ling Shi; Tongwen Chen
 
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ISBNs
9783319266046
9783319266060