TY - JOUR
T1 - Enabling Resilience of Complex Engineered Systems Using Control Theory
AU - Yodo, Nita
AU - Wang, Pingfeng
AU - Rafi, Melvin
N1 - Manuscript received January 31, 2017; revised June 14, 2017; accepted August 7, 2017. Date of publication September 19, 2017; date of current version March 1, 2018. This work was supported in part by the National 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. Associate Editor: S. Li. (Corresponding author: Pingfeng Wang.) N. Yodo is with the Department of Industrial and Manufacturing Engineering, North Dakota State University, Fargo, ND 58102 USA (e-mail: [email protected]).
PY - 2018/3
Y1 - 2018/3
N2 - Successful 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.
AB - Successful 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.
KW - Control theory
KW - complex systems
KW - engineering design
KW - failure recovery
KW - reliability
KW - resilience
UR - https://www.scopus.com/pages/publications/85030627309
UR - https://www.scopus.com/pages/publications/85030627309#tab=citedBy
U2 - 10.1109/TR.2017.2746754
DO - 10.1109/TR.2017.2746754
M3 - Article
AN - SCOPUS:85030627309
SN - 0018-9529
VL - 67
SP - 53
EP - 65
JO - IEEE Transactions on Reliability
JF - IEEE Transactions on Reliability
IS - 1
ER -