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dc.contributor.authorYodo, Nita
dc.contributor.authorWang, Pingfeng
dc.contributor.authorRafi, Melvin
dc.identifier.citationYodo, Nita; Wang, Pingfeng; Rafi, Melvin. 2018. Enabling resilience of complex engineered systems using control theory. IEEE Transactions on Reliability, vol. 67:no. 1:pp 53-65en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractSuccessful recovery from a disrupted state to maintain optimal performance is a key feature that a resilient complex engineered system should have. In the engineering design community, the current focus of engineering resilience research is primarily directed toward improving overall system performance in the presence of likelihood failures. Little attention has been given to the study of how the system responds during and/or after the occurrence of a failure event. This paper proposes the use of control theory as a strategy to enable resilient behavior in complex engineered systems. Control theory has various benefits in its application to a resilient engineered system, with the main advantage being its ability to regulate and govern system states, even while the failure is taking place. In the context of implementation within a complex engineered system, such a controller should be designed such that, when a disturbance occurs, the controller should simultaneously be able to take timely action to correct the shift in system performance. To date, the fusion of control theory with engineering resilience has not been explored in-depth by the engineering design community. This paper, thus, presents a resilience modeling and analysis approach using fundamental control theory. The resilience of a power distribution system is employed as a case study to demonstrate the effectiveness of the proposed approach. The presented study also expects to aid in the concurrent development of resilience functions in complex engineered systems under uncertainty.en_US
dc.description.sponsorshipNational Science Foundation (NSF) through the Faculty Early Career Development (CAREER) award (CMMI-1351414), in part by the NSF award (CMMI-1538508), and in part by the Department of Transportation through University Transportation Center Program.en_US
dc.relation.ispartofseriesIEEE Transactions on Reliability;v.67:no.1
dc.subjectControl theoryen_US
dc.subjectComplex systemsen_US
dc.subjectEngineering designen_US
dc.subjectFailure recoveryen_US
dc.titleEnabling resilience of complex engineered systems using control theoryen_US
dc.rights.holder© Copyright 2018 IEEE - All rights reserved.en_US

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