ENGLISH

Event-Based State Estimation: A Stochastic Perspective

By Tongwen Chen , Dawei Shi , Ling Shi

Book information

Publisher
Springer
Year
2015
ISBN
3319266047, 9783319266046
DOI
10.1007/978-3-319-26606-0
Language
english
Format
PDF
Filesize
4 MB (4252847 bytes)
Series
Studies in Systems, Decision and Control
Pages
215\215
Time added
2015-12-01 16:38:14
ControlControl; Probability Theory and Stochastic ProcessElectrical Machines and Networks; Systems Theory

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.

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