Adaptive iterative learning control based on characteristic model

摘要: Modeling the real system is difficult, in order to solve this problem, a method called characteristic modeling used class of nonlinear system. A least squares iterative identification with variant forgetting factors are obtain unknown parameters model, able reduce error. An optimal controller and an adaptive control model. Simulation results illustrated that model can describe effectively by using method. The proposed work achieve lower tracing error than controller.