Optimal Control of Energy Resources for State Estimation Over Wireless Channels / SpringerBriefs in Electrical and Computer Engineering (PDF)
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This brief introduces wireless communications ideas and techniques into the study of networked control systems. It focuses on state estimation problems in which sensor measurements (or related quantities) are transmitted over wireless links to a central observer.
Wireless communications techniques are used for energy resource management in order to improve the performance of the estimator when transmission occurs over packet dropping links, taking energy use into account explicitly in Kalman filtering and control. The brief allows a reduction in the conservatism of control designs by taking advantage of the assumed.
The brief shows how energy-harvesting-based rechargeable batteries or storage devices can offer significant advantages in the deployment of large-scale wireless sensor and actuator networks by avoiding the cost-prohibitive task of battery replacement and allowing self-sustaining sensor to be operation. In contrast with research on energy harvesting largelyfocused on resource allocation for wireless communication systems design, this brief optimizes estimation objectives such as minimizing the expected estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques.Researchers and graduate students studying networked control systems will find this brief a helpful source of new ideas and research approaches.
Daniel E. Quevedo holds the Chair in Automatic Control (Regelungs- und Automatisierungstechnik) at Paderborn University, Germany. He received Ingeniero CivilElectronico and M.Sc. degrees from the Universidad Tecnica Federico Santa Maria, Chile, in 2000. In 2005, he was awarded the Ph.D. degree from The University of Newcastle, Australia. Dr. Quevedo was supported by a full scholarship from the alumni association during his time at the Universidad Tecnica Federico Santa Maria and received several university-wide prizes upon graduating. He received the IEEE Conference on Decision and Control Best Student Paper Award in 2003 and was also a finalist in 2002. In 2009 he was awarded a five-year Research Fellowship from the Australian Research Council. Prof. Quevedo is Editor of the International Journal of Robust and Nonlinear Control and serves as Chair of the IEEE Control Systems Society Technical Committee on Networks & Communication Systems. His research interests are in automatic control, signal processing, and power electronics. Subhranki Dey was born in India in 1968. He received the B.Tech. and M.Tech. degrees from the Department of
- Autoren: Alex S. Leong , Daniel E. Quevedo , Subhrakanti Dey
- 2017, 1st ed. 2018, 125 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319656147
- ISBN-13: 9783319656144
- Erscheinungsdatum: 16.08.2017
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- Dateiformat: PDF
- Grösse: 3.26 MB
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