控制理论(社会学)
理论(学习稳定性)
模糊控制系统
期限(时间)
功能方法
区间(图论)
数学
模糊逻辑
计算机科学
过程(计算)
控制(管理)
人工智能
机器学习
物理
量子力学
人机交互
组合数学
操作系统
作者
Zhaoliang Sheng,Chong Lin,Bing Chen,Qing‐Guo Wang
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-09-01
卷期号:31 (9): 3197-3209
被引量:3
标识
DOI:10.1109/tfuzz.2023.3247030
摘要
This article studies the stability and stabilization of Takagi–Sugeno (T–S) fuzzy time-delay systems under sampled-data control via a new asymmetric Lyapunov–Krasovskii functional (LKF) method. The method improves the common symmetric basic functional term. Besides, we improve the looped-functional term and the discontinuous functional term through combining the integral about time delay and each sampling interval, respectively. Based on the abovementioned new approaches, we present the stability and stabilization results with less conservativeness than the literature through linear matrix inequalities. In the process, we introduce a simplification approach for stabilization of sampled-data control, which effectively reduces the computational complexity of results. At last, we provide three examples to verify the effects and advantages of our results.
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