Click Here to Download: https://ouo.io/U0kvyM Event-Based State Estimation A Stochastic Perspective By: Dawei Shi; Ling Shi; Tongwen Chen Publisher: Springer Print ISBN: 9783319266046, 3319266047 eText ISBN: 9783319266060, 3319266063 Copyright year: 2016 Format: PDF Available from $ 119.00 USD SKU 9783319266060 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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