International Journal of Control, Automation, and Systems 2025; 23(2): 520-529
https://doi.org/10.1007/s12555-024-0553-5
© The International Journal of Control, Automation, and Systems
Concentrated on the off-policy reinforcement learning method, this paper explores a model-free algorithm for addressing the robust fault-tolerant tracking problem in discrete-time linear systems with time-varying actuator faults and model uncertainties. Specifically, to determine the feedback control input, a dynamic optimization approach is developed based on measured data rather than exact information from system dynamics. Subsequently, a static optimization approach is established using solutions from the preceding dynamic optimization problem to compute the feedforward control input. Finally, numerical simulations are conducted to illustrate the feasibility and efficiency of the proposed solution.
Keywords Actuator faults, fault-tolerant control, model uncertainties, off-policy approach, reinforcement learning method, robust control, tracking control.
International Journal of Control, Automation, and Systems 2025; 23(2): 520-529
Published online February 1, 2025 https://doi.org/10.1007/s12555-024-0553-5
Copyright © The International Journal of Control, Automation, and Systems.
Ngoc Hoai An Nguyen and Sung Hyun Kim*
University of Ulsan
Concentrated on the off-policy reinforcement learning method, this paper explores a model-free algorithm for addressing the robust fault-tolerant tracking problem in discrete-time linear systems with time-varying actuator faults and model uncertainties. Specifically, to determine the feedback control input, a dynamic optimization approach is developed based on measured data rather than exact information from system dynamics. Subsequently, a static optimization approach is established using solutions from the preceding dynamic optimization problem to compute the feedforward control input. Finally, numerical simulations are conducted to illustrate the feasibility and efficiency of the proposed solution.
Keywords: Actuator faults, fault-tolerant control, model uncertainties, off-policy approach, reinforcement learning method, robust control, tracking control.
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