Event-Based State Estimation
A Stochastic Perspective
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Beschreibung
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.
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.
Treats both theoretical and practical aspects of event-triggered sampling and data scheduling Provides know-how that can improve process energy efficiency and reduce communications costs Uses extensive illustrative examples to help readers master new techniques Offers a self-contained presentation, from a contextualized literature review to a discussion of open problems Includes supplementary material: sn.pub/extras
Autor*in
Dawei Shi
Themen in »Event-Based State Estimation«
Cyber-physical Systems Even-based Systems Event-triggered Estimation Networked Control Systems Optimal Filtering State Estimation Wireless Monitoring and Automation
Stimmen zu »Event-Based State Estimation«
“This book addresses essentially the engineers (or researchers and students interested in the area of event-trigged systems). The subject turns around event-based estimation problems in a stochastic setting. This document is self-contained and it is readable with just a basic knowledge of probability theory, Kalman filtering theory, and linear algebra. … This book is clear and well written. The results presented are proven, and each chapter contains notes and references.” (Bénédicte Puig, zbMATH 1331.62010, 2016)
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