数学
期限(时间)
放松(心理学)
贝塞尔函数
应用数学
勒让德多项式
模糊逻辑
数学归纳法
国家(计算机科学)
离散数学
纯数学
数学分析
算法
计算机科学
人工智能
几何学
心理学
社会心理学
物理
量子力学
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-11-01
卷期号:30 (11): 4766-4774
被引量:7
标识
DOI:10.1109/tfuzz.2022.3159957
摘要
This article investigates the admissibility analysis for Takagi–Sugeno fuzzy singular systems (T–S FSSs) with time-varying delays. First, according to the decomposed state vectors, a state decomposition Lyapunov–Krasovskii functional (LKF) is constructed, which possesses fewer decision variables. And, the LKF is augmented by considering more features of the second-order Bessel–Legendre inequality (BLI). Then, the second-order BLI and the generalized reciprocally convex matrix inequality are employed to dispose the derivative of the LKF, where the $d^{2}(t)$ -dependent term exists. Meanwhile, by setting an adjustable parameter, the $d^{2}(t)$ -dependent term of the condition is handled by a relaxed quadratic function negative-determination condition. As a result, a less conservative admissibility criterion for T–S FSSs is obtained. And, the relationship between the conservatism and the numerical burden is better considered. Finally, a numerical example is given to demonstrate the reduced conservatism and computational complexity.
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