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.
| ISBN: | 9783319266046 |
| Publication date: | 1st December 2015 |
| 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 |
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.
Event-Based State Estimation features in the following genres: Automatic control engineering, Cybernetics and systems theory, Stochastics, Electrical engineering, Probability and statistics
Event-Based State Estimation is available in Hardback
Event-Based State Estimation was written by Dawei Shi, Ling Shi, Tongwen Chen and published by Springer an imprint of Springer International Publishing
Event-Based State Estimation has 208 pages
Yes it is part of Studies in Systems, Decision and Control series