关键词: 　非线性, 模型参考 , 　迭代学习控制 ,    , λ范数

Abstract: An algorithm of model reference iterative learning control (MR-ILC) was proposed for nonlinear systems with periodic and non-periodic uncertain disturbances. The objective is to make the state variables of a controlled system can be steered to follow the state variables of a reference model that does not necessarily have the same structure as the controlled system on condition that the controlled system is satisfied with assumptions and adopted with matching learning rate. The λ-norm was adopted as the topological measure in proof of the convergence of the system. The effectiveness of proposed scheme was illustrated by simulation results.

Key words: 　Non-linearity , Model reference , Iterative learning control , λ-norm