基于层次超扭转概念的未知输入线性时不变系统观测器

F. Bejarano, A. Poznyak, L. Fridman
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引用次数: 24

摘要

我们使用一种算法,该算法允许找到强可观察空间,来设计一个分层观测器,提供状态组件的精确重建。为了设计状态估计,我们使用了超扭转(二阶滑模)算法。超扭转输出注入的连续性允许在每个步骤中重构由矩阵预乘状态向量形成的向量,所有这些都在有限时间内完成。通过对该过程的逐次应用,最终得到状态向量,该状态向量可以用辅助状态向量加上等效超扭输出注入来表示。它只假设系统没有零并且未知输入是有界的。数值算例说明了该方法的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer for Linear Time Invariant Systems with Unknown Inputs based on the Hierarchical Super-Twisting Concept
We use an algorithm, which allows to find the strong observable space, to design a hierarchical observer providing the exact reconstruction of the state components. In order to design the state estimation, we use the super twisting (second order sliding mode) algorithm. The continuity of the super twisting output injection allows to reconstruct in each step a vector formed by a matrix pre-multiplied by the state vector, all this in a finite time. The sequential application of this procedure finally leads to the obtaining of the state vector which can be represented by an auxiliary state vector plus the equivalent super twisting output injection. It is assumed only that the system has no zeros and the unknown inputs are bounded. A numerical example illustrates the efficiency of the suggested technique
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