Iterative Learning Control for Singular System with An Arbitrary Initial State

Abstract

In this paper, a class of a class linear singular system with an arbitrary initial state was proposed based on singular value decomposition. A novel generalized theoretical result is presented by using the D-type learning law. We established the convergence conditions of algorithm. By the matrix theory, we give rigorous convergence proof. The effectiveness of the theoretical result is illustrated in two application examples.