A nearly optimal adaptive saturation function tuning method for quasi-sliding mode control based on integral reinforcement learning

Lei Guo, Wenbo Xiong, Han Zhao, Yuan Song, Dongming Gan

Abstract: Highlights•An algorithm is proposed with quasi-sliding mode control and reinforcement learning.•The optimized saturation function can be automatically obtained from online data.•The algorithm can ensure both the system input-state stability and its robustness.