ELM-based Parallel Compensation Control for Perturbed Plants with Hysteresis

抄録

In this paper, an Extreme Learning Machine (ELM) based parallel compensator is designed by using properties between play and stop hysteresis operators. By using this designed parallel compensator, the effect of hysteretic nonlinearity which precedes perturbed plants can be compensated. Based on the compensated perturbed plants, operator-based feedback controllers and tracking controllers are designed to guarantee the output tracking performance according to the robust right coprime factorization condition. Finally, the numerical simulation comparison results between the proposed method and the previous method are presented to validate the effectiveness of the proposed method.