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Robust stabilisation of linear time-delay systems with uncertainties in the system matrices and in the delay terms

机译:在系统矩阵中的不确定性和延迟条款中具有不确定性的线性时延系统的鲁棒稳定

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The pseudospectral abscissa is a powerful tool in the evaluation of the robustness of a dynamical system's stability, as it provides a worst-case analysis of the stability of a system when this includes potential uncertainties on parameters. In this paper we consider systems of DDAEs (Delay Differential Algebraic Equations) that incorporate real-valued structured uncertainties on the system matrices and on the delay terms. We propose a robust stabilisation approach for a system of DDAEs, which is based on the optimization of the pseudospectral abscissa with respect to a fixed set of tunable design or controller parameters. Given the non-smoothness nature of the pseudospectral abscissa, standard optimization methods are not efficient and we make use of bundle gradient methods. This approach proves to be very effective, and particularly useful in the design of robust static or dynamic fixed-order controllers for a system of DDEs (Delay Differential Equations) of retarded type. The approach fully exploits the structure on the uncertainty and the property that in applications perturbations are usually real valued, i.e., the uncertainty is not over-bounded and the employed robust stability criterion is necessary and sufficient.
机译:伪谱横坐标是评估动态系统稳定性的稳健性的强大工具,因为它提供了对系统的稳定性的最坏情况分析,其中包括对参数的潜在不确定性。在本文中,我们考虑DDAES(延迟差分代数方程)的系统,该系统在系统矩阵和延迟条款上包含实际有价值的结构化不确定性。我们为DDAE的系统提出了一种强大的稳定方法,其基于对固定的可调设计或控制器参数的伪谱系横坐标的优化。鉴于假镜横坐标的非平滑性性质,标准优化方法不高效,我们使用捆绑梯度方法。这种方法证明是非常有效的,并且特别有用于设计延迟类型的DDES(延迟微分方程)系统的强大静态或动态定量控制器。该方法充分利用了对不确定性的结构和应用程序扰动中的性质通常是真实值的,即,不确定性不是过界的,并且所采用的稳定稳定性标准是必要的并且足够的。

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