Event-Based State Estimation A Stochastic Perspective |
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Author:
| Shi, Dawei Shi, Ling Chen, Tongwen |
Series title: | Studies in Systems, Decision and Control Ser. |
ISBN: | 978-3-319-36911-2 |
Publication Date: | Aug 2016 |
Publisher: | Springer International Publishing AG
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Imprint: | Springer |
Book Format: | Paperback |
List Price: | USD $129.99USD $109.99 |
Book Description:
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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...
More 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.