Improvements on stability criteria for linear systems with a time-varying delay via novel delay-dependent Lyapunov functionals

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

This work investigates the less conservative stability conditions for linear systems with a time-varying delay. At first, augmented Lyapunov–Krasovskii functionals(LKFs) are constructed with state vectors that have not been utilized in the existing works, and an augmented zero equality that can be derived according to the augmented vector is proposed. By utilizing them, a stability condition is proposed in the form of a linear matrix inequality. And, by using novel delay-dependent LKFs and the introduced ones, improved results are obtained than the previous result. The addition of the delay-dependent LKFs increases the number of decision variables in the results. Therefore, any vectors of integral inequalities utilized in the proposed criterion are appropriately adjusted to reduce computational complexity. To check the excellence and validity of the proposed results, several numerical examples are applied.

通过新的依赖延迟的 Lyapunov 函数改进具有时变延迟的线性系统的稳定性标准。
这项研究探讨了具有时变延迟的线性系统的非保守稳定性条件。首先,利用现有著作中未使用的状态向量构建了增强的 Lyapunov-Krasovskii 函数(LKFs),并提出了可根据增强向量导出的增强零等式。利用它们,以线性矩阵不等式的形式提出了稳定性条件。而且,通过使用新的与延迟相关的 LKF 和引入的 LKF,可以获得比以前更好的结果。延迟相关 LKF 的加入增加了结果中决策变量的数量。因此,建议标准中使用的积分不等式向量要进行适当调整,以降低计算复杂度。为了检验建议结果的优越性和有效性,我们应用了几个数值示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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