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Iterative learning control design based on feedback linearization and nonlinear repetitive process stability theory

机译:基于反馈线性化和非线性重复过程稳定性理论的迭代学习控制设计

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Iterative learning control laws can be applied to systems that execute the same finite duration task over and over again. Previous research for linear dynamics has used the stability theory of linear repetitive processes to design control laws that have been experimentally verified. This paper applies recently developed stability theory for nonlinear repetitive processes to differential dynamics that can be feedback linearized. The design in then completed by applying the stability theory for linear dynamics. An example using the model of a single-link flexible joint is used to illustrate the new design.
机译:迭代学习控制定律可以应用于一遍又一遍执行相同有限时长任务的系统。先前对线性动力学的研究已使用线性重复过程的稳定性理论来设计已通过实验验证的控制定律。本文将针对非线性重复过程的最新开发的稳定性理论应用于可以反馈线性化的微分动力学。然后,通过将稳定性理论应用于线性动力学来完成设计。使用单链接柔性接头模型的示例用于说明新设计。

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