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Book synopsis

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 .

Book details

Book category Books in English Reference, information & interdisciplinary subjects Research & information: general Information theory

• Full title: Event-Based State Estimation
• Subtitle: A Stochastic Perspective
• Author: Tongwen Chen, Dawei Shi, Ling Shi
• Language: English
• Binding: Paperback
• Number of pages: 208
• EAN: 9783319369112
• ISBN: 3319369113
• ID: 18051349
• Publisher: Springer International Publishing AG
• Weight: 472 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 23. August 2016

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