对不确定性有合理依赖的连续和离散时不变不确定系统的鲁棒稳定性:一个非保守条件

G. Chesi
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引用次数: 0

摘要

研究不确定系统的鲁棒稳定性是自动控制中的一个关键问题。本文研究了单纯形约束下具有定常不确定性的合理依赖线性系统。通过求解由齐次参数相关二次Lyapunov函数(HPD-QLFs)构造的广义特征值问题,得到了确定系统是稳定还是不稳定的充分条件。此外,还证明了该条件对于利用足够大的HPD-QLF建立稳定性或不稳定性也是必要的。一些数值例子说明了该方法在连续时间和离散时间不确定系统中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the robust stability of continuous-time and discrete-time time-invariant uncertain systems with rational dependence on the uncertainty: A non-conservative condition
A key problem in automatic control consists of investigating robust stability of systems with uncertainty. This paper considers linear systems with rational dependence on time-invariant uncertainties constrained in the simplex. It is shown that a sufficient condition for establishing whether the system is either stable or unstable can be obtained by solving a generalized eigenvalue problem constructed through homogeneous parameter-dependent quadratic Lyapunov functions (HPD-QLFs). Moreover, it is shown that this condition is also necessary for establishing either stability or instability by using a sufficiently large degree of the HPD-QLF. Some numerical examples illustrate the use of the proposed approach in both cases of continuous-time and discrete-time uncertain systems.
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