Hadi Delavari

Robust reinforcement learning fault diagnosis for complex data-driven nonlinear systems

Improvements of 13% under normal conditions and 17% in the presence of system noise achieved by the proposed approach, compared to integer-order difference (IOD)-RL are demonstrated.