多项式不等式的一个充分条件及其在区间时变时滞系统中的应用

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI:10.20965/jaciii.2023.p0683
Meng Liu, Yong He, Lin Jiang
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引用次数: 0

摘要

本文研究了区间时变时滞系统的稳定性问题。在Lyapunov-Krasovskii泛函(LKF)的求导中,可能会出现关于区间时变时滞的非凸高次多项式,这使得很难确定LKF导数的负确定性。本研究的目的是获得可描述为线性矩阵不等式(lmi)的稳定性条件。通过考虑矩阵转移的思想,引入与时滞相关的增广向量,在多项式函数变量下界不为零的条件下,提出了一个新的高次多项式不等式,该不等式包含了已有引理作为其特例。然后,利用这个不等式,导出了lmi的稳定性判据。最后,通过几个典型算例验证了该稳定条件的有效性和强度。
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A Sufficient Condition on Polynomial Inequalities and its Application to Interval Time-Varying Delay Systems
This article examines the stability problem of systems with interval time-varying delays. In the derivation of Lyapunov–Krasovskii functional (LKF), non-convex higher-degree polynomials may arise with respect to interval time-varying delays, making it difficult to determine the negative definiteness of LKF’s derivative. This study was conducted to obtain stability conditions that can be described as linear matrix inequalities (LMIs). By considering the idea of matrix transition and introducing the delay-dependent augmented vector, a novel higher-degree polynomial inequality is proposed under the condition that the lower bound of the polynomial function variable is non-zero, which encompasses the existing lemmas as its special cases. Then, benefiting from this inequality, a stability criterion is derived in terms of LMIs. Finally, several typical examples are presented to verify the availability and strength of the stability condition.
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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