Enhanced Results on Stability Criteria for Linear Time Delay Systems with Distributed Delay via Relaxed Double Integral Inequality

Q3 Engineering
Jeetendra Rajagopal, Jeevanandan Balamurugan
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引用次数: 0

Abstract

This paper investigates the matter of stability criteria for linear time delay systems with distributed delay. Firstly, a relaxed double integral inequality is established to estimate the double integral terms appearing within the derivative of Lyapunov-Krasovskii functionals (LKFs) with a triple integral term. Unlike the recently introduced Jensen's inequalities, Wirtinger based integral inequalities, refined Jensen's inequalities and therefore the auxiliary function based integral inequalities the proposed relaxed integral inequality provides large feasible solution region and fewer conservative results. Secondly, by constructing an augmented Lyapunov-Krasovskii functional with a triple integral term, the robust stability criteria for linear time delay systems with distributed delay are given in terms of linear matrix inequalities (LMIs), which may be easily computed by the LMI toolbox of MATLAB. Finally, two numerical examples are performed to indicate the effectiveness of the proposed criterion.
利用松弛二重积分不等式增强了具有分布时滞的线性时滞系统稳定性判定的结果
本文研究了具有分布时滞的线性时滞系统的稳定性准则问题。首先,建立了一个松弛的二重积分不等式来估计Lyapunov-Krasovskii泛函导数中出现的二重积分项。与最近引入的Jensen不等式、基于Wirtinger的积分不等式以及基于辅助函数的积分不等式不同,所提出的松弛积分不等式提供了大的可行解区域和较少的保守性结果。其次,通过构造具有三积分项的增广Lyapunov-Krasovskii泛函,用线性矩阵不等式(LMI)给出了具有分布时滞的线性时滞系统的鲁棒稳定性准则,该准则可以很容易地用MATLAB的LMI工具箱计算。最后,通过两个算例验证了该准则的有效性。
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
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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