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Event-Based State Estimation A Stochastic Perspective /
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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2016.
Imprint: Springer, |
| Edition: | 1st ed. 2016. |
| Series: | Studies in Systems, Decision and Control,
41 |
| Subjects: | |
| Online Access: | Full-text access |
| Summary: | 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 willbenefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications. . |
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| Physical Description: | XIII, 208 p. 37 illus., 32 illus. in color. online resource. |
| ISBN: | 9783319266060 |
| ISSN: | 2198-4190 ; |
| DOI: | 10.1007/978-3-319-26606-0 |