Document Type
Conference Proceeding
Abstract
One of the pressing concerns for next-generation manufacturing is the development of techniques for guaranteeing that a control system is cyberattack-resilient in the sense that even if a cyberattack is successful at breaking information technology-based defenses (e.g., it succeeds at providing a false sensor measurement to the controller), closed-loop stability is still maintained. Our prior work has provided a nonlinear systems definition for cyberattacks. This work explores how a nonlinear systems perspective on cyberattack-resilience for false sensor measurements provided to controllers may allow an economic model predictive control (EMPC) formulation known as Lyapunov-based EMPC (LEMPC) to be designed such that if a cyberattack occurs at a sampling time, the closed-loop state will not leave a region where a known feedback control law exists that can stabilize the origin of the closed-loop system if the cyberattack is detected and non-falsified state measurements are then provided within that sampling period.
Disciplines
Controls and Control Theory | Process Control and Systems
Recommended Citation
H. Durand and M. Wegener, "Mitigating Cyberattack Impacts Using Lyapunov-Based Economic Model Predictive Control," 2020 American Control Conference (ACC), Denver, CO, USA, 2020, pp. 1894-1899, doi: 10.23919/ACC45564.2020.9147650.
Comments
© American Automatic Control Council (AACC) 2020. Peer Reviewed Conference Proceeding, 2020 American Control Conference (ACC), July 1-3, 2020, Denver, CO, USA. Originally published at https://doi.org/10.23919/ACC45564.2020.9147650. Financial support from the Wayne State College of Engineering start-up funding, Wayne State Research Opportunities for Engineering Undergraduates, and NSF CNS-1932026 is gratefully acknowledged.