Event-Based State Estimation: A Stochastic Perspective

di Dawei Shi (Autore)

Ling Shi (Autore)

Tongwen Chen (Autore)

Springer International Publishing AG, 2016

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.  

• Autore: Dawei Shi, Ling Shi, Tongwen Chen
• Editore: Springer International Publishing AG
• Collana: Studies in Systems, Decision and Control
• Anno: 2016
• Rilegatura: Paperback / softback
• Pagine: 208 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319369112

Testo in English