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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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Detaylı Bibliyografya
Asıl Yazarlar: Shi, Dawei (Yazar), Shi, Ling (Yazar), Chen, Tongwen (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Studies in Systems, Decision and Control, 41
Konular:
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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. .
Fiziksel Özellikler:XIII, 208 p. 37 illus., 32 illus. in color. online resource.
ISBN:9783319266060
ISSN:2198-4190 ;
DOI:10.1007/978-3-319-26606-0