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Event-Based State Estimation A Stochastic Perspective /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Shi, Dawei (Autor), Shi, Ling (Autor), Chen, Tongwen (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Systems, Decision and Control, 41
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Event-Based State Estimation  |h [electronic resource] :  |b A Stochastic Perspective /  |c by Dawei Shi, Ling Shi, Tongwen Chen. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XIII, 208 p. 37 illus., 32 illus. in color.  |b online resource. 
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490 1 |a Studies in Systems, Decision and Control,  |x 2198-4190 ;  |v 41 
505 0 |a 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. 
520 |a 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. . 
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700 1 |a Chen, Tongwen.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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