理论(学习稳定性)
模糊控制系统
控制理论(社会学)
模糊逻辑
计算机科学
数学
人工智能
控制(管理)
机器学习
作者
Wei-Min Wang,Yan‐Wu Wang,Hong‐Bing Zeng,Jian Huang
标识
DOI:10.1109/tfuzz.2024.3375449
摘要
This paper investigates the stability problem of Takagi-Sugeno (T-S) fuzzy systems with time-varying delay. Different from some existing methods, a new delay-productdependent Lyapunov-Krasovkii functional (LKF) is proposed, whose derivative is estimated by using the proposed cubic function negative-determination lemma (NDL). Moreover, a parameter-dependent reciprocally convex inequality (PDRCI) is proposed to improve the estimation accuracy of reciprocally convex terms. Besides, an improved cubic function NDL is derived to solve the negative-definiteness determination of cubic functions. Based on the proposed delay-product-dependent LKF, the developed PDRCI and the improved cubic function NDL, a less conservative stability criterion is obtained. Three examples are presented to demonstrate the merits of the proposed approaches by comparing with several existing results.
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