基于扩展状态观测器的非线性离散重复系统数据驱动最优ILC方法

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) Pub Date : 2018-05-01 DOI:10.1109/DDCLS.2018.8515935

Hui Yu, Z. Shuhua, Chi Rong-hu

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引用次数: 3

摘要

本文针对一类非线性非仿射离散时间重复系统，提出了一种具有扩展状态观测器的数据驱动最优线性控制方法。该方法的主要特点是控制器设计仅依赖于I/O数据，并且引入了ESO来估计干扰和不确定性。最后的仿真结果验证了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Data-driven Optimal ILC Method Incorporated with Extended State Observer for Nonlinear Discrete-time Repetitive Systems

In this work, a novel data-driven optimal ILC with an extended state observer for a class of nonlinear non-affine discrete-time repetitive system has been proposed. The main feature of the approach is that the controller design depends merely on the I/O data, and an ESO has been introduced for the estimation of disturbance and uncertainty. The final simulation results verify the effectiveness of the proposed method.

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2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)

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