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Event-Based State Estimation: A Stochastic Perspective Softcover Repri Edition
Contributor(s): Shi, Dawei (Author), Shi, Ling (Author), Chen, Tongwen (Author)
ISBN: 3319369113     ISBN-13: 9783319369112
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Paperback - Other Formats
Published: August 2016
Qty:
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.