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Boundary Iterative Learning Control of an Euler-Bernoulli Beam System

机译:欧拉伯努利光束系统的边界迭代学习控制

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In this article, through combining boundary control, adaptive technique with iterative learning control, a control strategy is developed for improving the tracing accurate and achieving the vibration suppression for the Euler-Bernoulli beam system. The dynamics of Euler-Bernoulli beam system can be written as partial-ordinary differential equations. With designed adaptive iterative learning control strategy, the unexpected spillover problem is suppressed and the learning convergence of iterative learning control is also mathematically achieved. Finally, the validity is illustrated by numerical simulation results.
机译:在本文中,通过组合边界控制,具有迭代学习控制的自适应技术,开发了一种控制策略,用于改善追踪准确并实现欧拉 - 伯尔努利光束系统的振动抑制。 Euler-Bernoulli波束系统的动态可以写成部分常微分方程。通过设计的自适应迭代学习控制策略,抑制了意外的溢出问题,并且还达到了迭代学习控制的学习融合。最后,通过数值模拟结果说明了有效性。

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