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Event-Based State Estimation

A Stochastic Perspective

  • Dawei Shi
  • Ling Shi
  • Tongwen Chen

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 41)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 1-22
  3. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 23-31
  4. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 33-46
  5. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 47-75
  6. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 77-108
  7. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 109-141
  8. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 143-181
  9. Dawei Shi, Ling Shi, Tongwen Chen
    Pages 183-187
  10. Back Matter
    Pages 189-208

About this book

Introduction

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.

 

Keywords

Cyber-physical Systems Even-based Systems Event-triggered Estimation Networked Control Systems Optimal Filtering State Estimation Wireless Monitoring and Automation

Authors and affiliations

  • Dawei Shi
    • 1
  • Ling Shi
    • 2
  • Tongwen Chen
    • 3
  1. 1.School of AutomationBeijing Institute of TechnologyBeijingChina
  2. 2.Department of Electronic and Computer EngineeringThe Hong Kong University of Science and TechnologyHong KongChina
  3. 3.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-26606-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-26604-6
  • Online ISBN 978-3-319-26606-0
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site
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