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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.
Produkteigenschaften
- Artikelnummer: 9783319369112
- Medium: Buch
- ISBN: 978-3-319-36911-2
- Verlag: Springer International Publishing
- Erscheinungstermin: 23.08.2016
- Sprache(n): Englisch
- Auflage: Softcover Nachdruck of the original 1. Auflage 2016
- Serie: Studies in Systems, Decision and Control
- Produktform: Kartoniert, Previously published in hardcover
- Gewicht: 347 g
- Seiten: 208
- Format (B x H x T): 155 x 235 x 13 mm
- Ausgabetyp: Kein, Unbekannt