國立虎尾科技大學 |

Event-Based State Estimation = A Stochastic Perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Event-Based State Estimation/ by Dawei Shi, Ling Shi, Tongwen Chen.
其他題名:	A Stochastic Perspective /
作者:	Shi, Dawei.
其他作者:	Shi, Ling.
面頁冊數:	XIII, 208 p. 37 illus., 32 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-26606-0
ISBN:	9783319266060

Event-Based State Estimation = A Stochastic Perspective /
Shi, Dawei.

Event-Based State EstimationA Stochastic Perspective /[electronic resource] :by Dawei Shi, Ling Shi, Tongwen Chen. - 1st ed. 2016. - XIII, 208 p. 37 illus., 32 illus. in color.online resource. - Studies in Systems, Decision and Control,412198-4182 ;. - Studies in Systems, Decision and Control,27.

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.

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. .

ISBN: 9783319266060

Standard No.: 10.1007/978-3-319-26606-0doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Event-Based State Estimation = A Stochastic Perspective /
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