Event-Based State Estimation: A Stochastic Perspective Softcover Repri Edition Contributor(s): Shi, Dawei (Author), Shi, Ling (Author), Chen, Tongwen (Author) |
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ISBN: 3319369113 ISBN-13: 9783319369112 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: August 2016 |
Additional Information |
BISAC Categories: - Technology & Engineering | Automation - Mathematics | Probability & Statistics - General - Technology & Engineering | Machinery |
Dewey: 519 |
Series: Studies in Systems, Decision and Control |
Physical Information: 0.47" H x 6.14" W x 9.21" (0.70 lbs) 208 pages |
Descriptions, Reviews, Etc. |
Publisher 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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