An Identification Based Indirect Iterative Learning Control via Data-driven Approach

Key Words:iterative learning control; nonlinear discrete system; linearized model; iterative identification; convergence

Abstract:In this paper, an iterative learning control approach is developed for a class of uncertainty nonlinear discrete-time systems based on the identification of the controlled system. At first, the linearized model of the nonlinear system is proposed. And then using the identification method, we present an indirect iterative learning control scheme for the controlled system. Analysis shows that the scheme can guarantee the system convergence under some conditions.

Translation or Not:no