2-D analysis based ILC for linear time-variant discrete systems with multiple time delays

Abstract

This paper presents Two-Dimensional (2-D) system analysis based Iterative Learning Control (ILC) methods for Linear Time-Variant (LTV) discrete systems with multiple time delays. Both the state delays and the input delays are considered in the ILC design. The ILC research strategy for LTV discrete systems with multiple time delays is to rescontruct the derived ILC error equations into the 2-D Roessor’s model, so that the convergence conditions for the proposed ILC rules can be derived according to the convergence property of the 2-D Roessor’s model. A numerical example is used to validate the effectiveness of the proposed ILC methods.