通过扩展的二元二次函数负确定性困境改进具有两个加性时变延迟的 T-S 模糊系统的结果

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2024-06-14 DOI:10.1016/j.fss.2024.109049
Yapeng Liu , Kun Zhou , Shouming Zhong , Kaibo Shi , Xuezhi Li
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引用次数: 0

摘要

本文主要研究具有两个加性时变延迟的 T-S 模糊系统的稳定性和稳定问题。首先,通过延迟积型函数法和状态向量增强法构建了新的 Lyapounov-Krasovskii 函数(LKF)。为了处理引入到 LKF 导数中的时延平方项,提出了一个扩展的二元二次函数负判定 Lemma。由于不仅采用了一些新的边界技术来处理积分项,而且还采用了所提出的定理来处理构造函数导数中的非线性时间延迟项,因此开发出了一种不太保守的依赖于延迟的稳定性条件。然后,基于并行分布式补偿方案,推导出闭环延迟模糊系统的相应控制器设计方法。最后,通过四个数值实例说明了所提准则的优越性和有效性。
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Improved results for T-S fuzzy systems with two additive time-varying delays via an extended binary quadratic function negative-determination lemma

This paper is concerned with the stability and stabilization problems for T-S fuzzy systems with two additive time-varying delays. Firstly, a novel Lyapounov-Krasovskii functional (LKF) is constructed by delay-product-type functional method together with the state vector augmentation. In order to handle time-delay square terms introduced into the derivative of LKF, an extended binary quadratic function negative-determination lemma is proposed. A less conservative delay-dependent stability condition is developed since not only some new bounding technologies are employed to deal with integral terms, but also the proposed lemma is employed to dispose nonlinear time-delay terms in derivative of constructed function. Then, the corresponding controller design method for closed-loop delayed fuzzy system is derived based on parallel distributed compensation scheme. Finally, four numerical examples are given to illustrate the superiority and effectiveness of the proposed criteria.

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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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