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Passification-based adaptive control of linear systems: Robustness issues

机译:基于钝化的线性系统自适应控制:鲁棒性问题

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Passivity is a widely used concept in control theory having led to many significant results. This paper concentrates on one characteristic of passivity, namely passification-based adaptive control. This concept applies to multi-input multi-output systems for which exists a combination of outputs that renders the open-loop system hyper-minimum phase. Under such assumptions, the system may be passified by both high-gain static output feedback and by a particular adaptive control algorithm. This last control law is modified here to guarantee its coefficients to be bounded. The contribution of this paper is to investigate its robustness with respect to parametric uncertainty. Time response characteristics are illustrated on examples including realistic situations with noisy output and saturated input. Theoretical results are formulated as linear matrix inequalities and can hence be readily solved with semi-definite programming solvers.
机译:被动性是控制理论中广泛使用的概念,已导致许多重要结果。本文着重于无源性的一个特征,即基于钝化的自适应控制。此概念适用于多输入多输出系统,对于这些系统,存在的输出组合使开环系统处于极小相位。在这样的假设下,可以通过高增益静态输出反馈和特定的自适应控制算法来使系统无效。在此修改了最后一个控制律,以保证其系数有界。本文的作用是研究其在参数不确定性方面的鲁棒性。在示例中说明了时间响应特性,包括带有嘈杂输出和饱和输入的实际情况。理论结果被公式化为线性矩阵不等式,因此可以很容易地用半定规划求解器求解。

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