Iterative Learning Control for Singular System with An Arbitrary Initial State

Mengji Chen, Yinjun Zhang, Jianhuan Su
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引用次数: 7

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.
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具有任意初始状态的奇异系统的迭代学习控制
本文提出了一类具有任意初始状态的线性奇异系统的奇异值分解方法。利用d型学习规律,给出了一个新的广义理论结果。建立了算法的收敛条件。利用矩阵理论给出了严格的收敛性证明。两个应用实例说明了理论结果的有效性。
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