控制理论(社会学)
理论(学习稳定性)
数学
稳定性判据
模糊逻辑
变量(数学)
圆判据
符号(数学)
模糊控制系统
计算机科学
指数稳定性
非线性系统
离散时间和连续时间
控制(管理)
数学分析
统计
人工智能
量子力学
机器学习
物理
作者
Likui Wang,Hak‐Keung Lam
标识
DOI:10.1109/tcyb.2018.2801795
摘要
In this technical paper, a new Lyapunov-Krasovskii functional (LKF) is designed to study the stability of continuous-time Takagi-Sugeno fuzzy systems with time-varying delay. The integrand of the LKF depends on integral variable and time t which can help to reduce the number of linear matrix inequalities (LMIs). Then, a new stability criterion is derived by analyzing the sign of the time derivatives of membership functions. Compared with the existing results, larger delay bounds can be obtained by applying the new criterion. In the end, two examples show the effectiveness of the conclusions.
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