改进的二次多项式负定条件及其在时滞系统中的稳定性分析
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安徽大学

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TP273

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Improved Negative Definiteness Conditions for Quadratic Polynomial Functions and Their Application to Stability Analysis of Time-Delay Systems
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    摘要:

    在基于李雅普诺夫-克拉索夫斯基泛函(LKF)的时滞系统稳定性分析中, 一个核心挑战在于处理由时变 时滞引起的二次多项式, 并保证其导函数矩阵的严格负定性. 这一环节直接决定了基于线性矩阵不等式(LMI) 稳定性条件的保守性. 为了降低现有条件的保守性, 本文提出一种基于时滞区间分段与对称点切线逼近的分析方 法. 该方法通过对时滞区间进行划分, 并在关键对称点处引入切线之间交点的约束, 以建立更加精确的稳定性判 据, 从而导出更松弛的稳定性准则. 两个典型数值算例结果表明, 本文方法相较于现有主流方法具有更低的保守 性.

    Abstract:

    In the stability analysis of time-delay systems based on Lyapunov-Krasovskii functionals (LKFs), a core challenge is handling the quadratic terms arising from time-varying delays and ensuring the strict negative definiteness of the resulting derivative matrix. This aspect directly determines the conservatism of the stability conditions formulated as linear matrix inequalities (LMIs). To reduce the conservatism of existing methods, this paper proposes an analytical approach based on delay-interval partitioning and tangent approximation at symmetric points. By dividing the delay interval and introducing tangent constraints at key symmetric points, this method establishes stricter stability criteria, thereby yielding a less conservative set of stability conditions. Results from several typical numerical examples demonstrate that the proposed method achieves lower conservatism compared to existing mainstream approaches.

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历史
  • 收稿日期:2026-01-25
  • 最后修改日期:2026-05-22
  • 录用日期:2026-05-25
  • 在线发布日期: 2026-06-15
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