Studies in Systems, Decision and Control: A Stochastic Perspective

Shi, Dawei; Shi, Ling; Chen, Tongwen

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.

Details

Published by: Springer

Publication Date: 2016-08-23

Format: Paperback

ISBN-13: 9783319369112

DOI: 10.1007/978-3-319-26606-0

Dimensions: 235cm x155cm

Pages: 208