Event-Based State Estimation
by Dawei Shi /
2015 / English / PDF
4.1 MB Download
by Dawei Shi (Author), Ling Shi (Author), Tongwen Chen (Author) 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. 5 illus., 32 in colour Control Probability Theory and Stochastic Processes Power Electronics, Electrical Machines and Networks Systems Theory, Control
