Event-Based State Estimation

A Stochastic Perspective de

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2015-11-19

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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.
 
Pages
208 pages
Collection
Studies in Systems, Decision and Control
Parution
2015-11-19
Marque
Springer
EAN papier
9783319266046
EAN PDF
9783319266060

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
4209 Ko
Prix
91,88 €
EAN EPUB
9783319266060

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
3789 Ko
Prix
91,88 €