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Self-Powered Dynamic Systems in the Framework of Optimal Uncertainty Quantification

Khoshnoud, Farbod and Esat, Ibrahim I. and de Silva, Clarence W. and McKerns, Michael M. and Owhadi, Houman (2017) Self-Powered Dynamic Systems in the Framework of Optimal Uncertainty Quantification. Journal of Dynamic Systems, Measurement, and Control, 139 (9). Art. No. 091005. ISSN 0022-0434.

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The energy that is needed for operating a self-powered device is provided by the energy excess in the system in the form of kinetic energy, or a combination of regenerative and renewable energy. This paper addresses the energy exchange issues pertaining to regenerative and renewable energy in the development of a self-powered dynamic system. A rigorous framework that explores the supply and demand of energy for self-powered systems is developed, which considers uncertainties and optimal bounds, in the context of optimal uncertainty quantification. Examples of regenerative and solar-powered systems are given, and the analysis of self-powered feedback control for developing a fully self-powered dynamic system is discussed.

Item Type:Article
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URLURL TypeDescription
Owhadi, Houman0000-0002-5677-1600
Additional Information:© 2017 ASME. Manuscript received March 8, 2016; final manuscript received March 7, 2017; published online June 5, 2017. The first author wishes to acknowledge the Brunel Research and Innovation Fund Award for supporting the research presented in this paper.
Funding AgencyGrant Number
Brunel Research and Innovation FundUNSPECIFIED
Subject Keywords:self-powered systems, self-powered sensors/actuators, regenerative, solar-powered systems, uncertainty quantification
Issue or Number:9
Record Number:CaltechAUTHORS:20170825-144657432
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Official Citation:Khoshnoud F, Esat II, de Silva CW, McKerns MM, Owhadi H. Self-Powered Dynamic Systems in the Framework of Optimal Uncertainty Quantification. ASME. J. Dyn. Sys., Meas., Control. 2017;139(9):091005-091005-13. doi:10.1115/1.4036367
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80807
Deposited By: Tony Diaz
Deposited On:28 Aug 2017 19:57
Last Modified:03 Oct 2019 18:35

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