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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. https://resolver.caltech.edu/CaltechAUTHORS:20170825-144657432

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Abstract

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
Related URLs:
URLURL TypeDescription
https://doi.org/10.1115/1.4036367DOIArticle
http://dynamicsystems.asmedigitalcollection.asme.org/article.aspx?articleid=2616340PublisherArticle
ORCID:
AuthorORCID
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.
Funders:
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
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170825-144657432
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
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Aug 2017 19:57
Last Modified:03 Oct 2019 18:35

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