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Book Cover
E-RESOURCE
Author Shi, Dawei. author.

Title Event-Based State Estimation [electronic resource] : A Stochastic Perspective / by Dawei Shi, Ling Shi, Tongwen Chen.

Published Cham : Springer International Publishing : Imprint: Springer, 2016.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Edition 1st ed. 2016.
Physical description 1 online resource (XIII, 208 p. 37 illus., 5 illus. in color.) online resource.
Series Studies in Systems, Decision and Control, 2198-4182 ; 41
Studies in systems, decision and control ; 41. 2198-4182
Springer Engineering eBooks 2016 English+International
Contents Introduction -- Linear Gaussian Systems and Event-Based State Estimation -- Event-Triggered Sampling -- Approximate Optimal Filtering Approaches -- Constrained Optimization Approach -- Set-Valued Filtering Approach -- Probabilistic Approach -- Communications Rate Analysis -- Open Problems -- Appendices: Brief Review of Probability Theory; Linear Estimation Theory.
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 will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications. .
Other author Shi, Ling. author.
Chen, Tongwen. author.
SpringerLink issuing body.
Subject Engineering.
System theory.
Probabilities.
Automatic control.
Power electronics.
ISBN 9783319266060
3319266063
9783319266046 (print)
3319266047 (print)
Standard Number 10.1007/978-3-319-26606-0