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Disturbance estimator based output feedback stabilizing control for an Euler-Bernoulli beam equation with boundary uncertainty

机译:具有干扰不确定性的Euler-Bernoulli梁方程的基于扰动估计器的输出反馈稳定控制

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The disturbance estimator design proposed in [IEEE Trans. Automat. Control, 62(2017), 3774-3787.] is a systematic method to deal with the control-matched uncertainty. There are two main highlights for this approach: the disturbance estimator is not invoking high-gain and the derivative of disturbance is not required to be bounded. In this paper, we propose an output feedback control to stabilize an Euler-Bernoulli beam equation by following the idea of [IEEE Trans. Automat. Control, 62(2017), 3774-3787]. The main difficulty is that the boundary of the beam contains both interior uncertainty and the external disturbance. The well-posedness and the asymptotical stability of the closed-loop are proved by a novel transformation from which the nonlinear problem can be solved by method for linear ones.
机译:在[IEEE Trans。自动机Control,62(2017),3774-3787。]是一种处理控制匹配不确定性的系统方法。此方法有两个主要亮点:干扰估计器不调用高增益,并且不需要对干扰的导数进行限制。在本文中,我们提出了一种输出反馈控制,以遵循[IEEE Trans。的思想]来稳定Euler-Bernoulli梁方程。自动机Control,62(2017),3774-3787]。主要困难在于光束的边界既包含内部不确定性,又包含外部干扰。通过一种新颖的变换证明了闭环的适定性和渐近稳定性,可以通过线性变换的方法解决非线性问题。

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