Iterative Learning Control for Multiple Time-Delays Discrete Systems in Finite Frequency Domain

Xiaohui Li, Jianqiang Shen, Hongfeng Tao, Shoulin Hao
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Abstract

This paper developes iterative learning control scheme and the stability conditions for multiple time-delays discrete system. By formulating the problem over repetitive process form using 2D theory, sufficient stability conditions for multiple time-delays discrete system are developed along the trial, which guarantees the trial-to-trial error monotonic convergence. Moreover, the generalized Kalman-Yakubovich-Popov (KYP) lemma allows the iterative learning control scheme to develope stability conditions with LMI constraints and analyze in the finite frequency domain. A numerical simulation for multiple time-delays discrete system is given to verify the proposed method.
有限频域多时滞离散系统的迭代学习控制
提出了多时滞离散系统的迭代学习控制方法和稳定性条件。利用二维理论在重复过程形式上表述问题,给出了多时滞离散系统沿试验的充分稳定性条件,保证了试验误差的单调收敛。此外,广义Kalman-Yakubovich-Popov (KYP)引理允许迭代学习控制方案在有限频域内建立具有LMI约束的稳定性条件并进行分析。对多时滞离散系统进行了数值仿真,验证了该方法的有效性。
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