Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | Dawei Shi, Tongwen Chen, Ling Shi, |
| Serija: | Studies in Systems, Decision and Control |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2015 |
| Knygos puslapių skaičius: | 224 |
| ISBN-10: | 3319266047 |
| ISBN-13: | 9783319266046 |
| Formatas: | 241 x 160 x 18 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Event-Based State Estimation: A Stochastic Perspective“
