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Upper and lower eigenvalue summation bounds of the Lyapunov matrix differential equation and the application in a class time-varying nonlinear system

机译:Lyapunov矩阵微分方程的上部和下部特征值求和和在类时变非线系统中的应用

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摘要

In this paper, we first show a class relation between the eigenvalue of functional matrix derivative and the derivative of function matrix eigenvalue. Applying the relation, we transform the time-varying linear matrix differential equation into eigenvalue differential equation. Furthermore, by using singular value decomposition and majorisation inequalities, we derive upper and lower bounds on eigenvalue summation of the solution for the Lyapunov matrix differential equation, which improve the recent results. As an application in control and optimisation, we show that our bounds could be used to discuss the stability of a class time-varying nonlinear system. Finally, we give a corresponding numerical example to show the superiority and effectiveness of the derived bounds.
机译:在本文中,我们首先展示了功能矩阵衍生物的特征值与功能矩阵特征值的衍生物之间的阶级关系。 应用关系,我们将时变线性矩阵微分方程转换为特征值微分方程。 此外,通过使用奇异值分解和多种不等式,我们在Lyapunov矩阵微分方程的解决方案的特征值总结中获得了上下限制,这改善了最近的结果。 作为控制和优化的应用,我们表明我们的界限可用于讨论类时变非线性系统的稳定性。 最后,我们给出了相应的数值示例以展示派生界限的优越性和有效性。

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