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Event-Based State Estimation: A Stochastic Perspective
Paperback
Series: Studies in Systems, Decision and Control, Book 41
Technology & EngineeringProbability & Statistics
ISBN13: 9783319369112
Publisher: Springer Nature
Published: Aug 23 2016
Pages: 208
Weight: 0.70
Height: 0.47 Width: 6.14 Depth: 9.21
Language: English
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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