控制理论(社会学)
模糊逻辑
模糊控制系统
李雅普诺夫函数
控制器(灌溉)
理论(学习稳定性)
计算机科学
数学
控制工程
控制(管理)
数学优化
非线性系统
工程类
人工智能
机器学习
物理
量子力学
农学
生物
作者
Sakumi Toyoda,Yuto Asai,Taku Itami,Jun Yoneyama
标识
DOI:10.1109/fuzz52849.2023.10309712
摘要
This paper is on the issues of designing fuzzy controllers for Takagi-Sugeno fuzzy systems. Many works on the stability and stabilization problems on Takagi-Sugeno fuzzy systems have been done. In the literature, stabilization conditions for Takagi-Sugeno fuzzy system have been improved and their feasibility range has been extended. However, there remains room for reducing the conservativeness for such stabilization conditions. In this paper, we propose a new fuzzy controller design via higher order derivatives of a Lyapunov function with an integral of the membership functions, which drastically reduces the existing conservative stabilization conditions. Finally, a comparison with previous studies is presented to demonstrate the effectiveness of our proposed control method.
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