具有外部干扰的IT2模糊奇异系统的记忆采样数据控制设计新结果。

IF 10.5 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Cybernetics Pub Date : 2025-09-22 DOI:10.1109/tcyb.2025.3607281

T Saravanakumar,A Stephen,Xiaoshan Bai,Quanxin Zhu,Tingwen Huang

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引用次数: 0

摘要

本文报道了具有外部干扰的区间2型模糊奇异系统的存储采样数据控制器的设计问题。首先，引入了一种改进的自由权矩阵不等式来求解模糊SSs，以降低积分项的保守性。然后，构造了一个新的基于循环函数的Lyapunov-Krasovskii泛函（LKF），该泛函包含了采样区间z(t)到z（tk）的数据。利用改进的积分不等式和新的LKF，以线性矩阵不等式（lmi）的形式建立了一组新的容许条件。基于内存SD控制器的开发标准确保所提出的系统在H∞衰减水平下是可接受的。最后，通过数值模拟说明了所提方法的有效性和优越性。

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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New Results on Memory Sampled-Data Control Design for IT2 Fuzzy Singular Systems With External Disturbance.

This work reports design problem of the memory sampled-data (SD) controller for interval type-2 fuzzy singular systems (SSs) with external disturbances. First, an improved free-weighting matrix inequality is introduced for concerning fuzzy SSs to reduce conservatism of the integral terms. Then, a novel looped-functional-based Lyapunov-Krasovskii functional (LKF) is constructed that incorporates the data from sampling interval z(t) to z(tk). With the help of improved integral inequality and novel LKF, a new set of admissibility conditions is developed in the form of linear matrix inequalities (LMIs). The developed criteria based on the memory SD controller ensure that the proposed systems is admissible with an H∞ attenuation level. Finally, numerical simulations are given to illustrate the usefulness and benefit of the proposed methods.

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来源期刊

IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS

CiteScore

25.40

自引率

11.00%

发文量

1869

期刊介绍： The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.