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Boundary iterative learning control for a class of first-order hyperbolic system with non-local terms

机译:非本地条款一类一阶双曲线系统的边界迭代学习控制

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摘要

In this paper, the output tracking problem for a class of first-order hyperbolic equations with non-local terms over repeatable finite time interval is addressed. On the boundary of the system, a kind of iterative learning control scheme composed of a feedback and a feedforward mechanisms is proposed. Through constructing the input-output equivalent form of the original system, the robust convergence of the boundary iterative learning control strategy with respect to the initial states errors, iteration dependent, independent and state dependent disturbances is guaranteed via rigorous analysis. It is shown that the upper bound of the convergence error is continuously depend on the bounds of the initial states errors, iteration dependent or independent disturbances and the Lipschitz coefficient of the state dependent nonlinear disturbance. Finally, several numerical examples and a practical plate heat exchanger process applying the proposed boundary ILC scheme are performed to validate the performance of the algorithms. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:在本文中,寻址具有在可重复的有限时间间隔中具有非本地术语的一类一类一班级双曲方程的输出跟踪问题。在系统的边界上,提出了一种由反馈和馈电机制组成的迭代学习控制方案。通过构建原始系统的输入输出等效形式,通过严格的分析保证了关于初始状态误差,迭代,独立和状态依赖性干扰的边界迭代学习控制策略的鲁棒融合。结果表明,收敛误差的上限连续地取决于初始状态误差,迭代依赖性或独立干扰的界限,以及状态相关非线性干扰的嘴唇尖峰系数。最后,执行应用所提出的边界ILC方案的若干数值示例和实际板热交换器处理以验证算法的性能。 (c)2020富兰克林学院。 elsevier有限公司出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2020年第9期|5428-5459|共32页
  • 作者单位

    Xidian Univ Sch Math & Stat Xian 710126 Peoples R China;

    Xidian Univ Sch Math & Stat Xian 710126 Peoples R China;

    Xidian Univ Sch Math & Stat Xian 710126 Peoples R China;

    Xidian Univ Sch Math & Stat Xian 710126 Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 21:04:28

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