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Shi / Chen

Event-Based State Estimation

A Stochastic Perspective

Medium: Buch
ISBN: 978-3-319-26604-6
Verlag: Palgrave Macmillan
Erscheinungstermin: 01.12.2015
Lieferfrist: bis zu 10 Tage

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  s uitable 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 .


Produkteigenschaften


  • Artikelnummer: 9783319266046
  • Medium: Buch
  • ISBN: 978-3-319-26604-6
  • Verlag: Palgrave Macmillan
  • Erscheinungstermin: 01.12.2015
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2016
  • Serie: Studies in Systems, Decision and Control
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 4616 g
  • Seiten: 208
  • Format (B x H x T): 160 x 241 x 18 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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.