控制理论(社会学)
模糊逻辑
控制器(灌溉)
数学
线性化
分段
模糊控制系统
隶属函数
理论(学习稳定性)
李雅普诺夫函数
计算机科学
数学优化
控制(管理)
非线性系统
人工智能
数学分析
物理
量子力学
机器学习
农学
生物
作者
Wen‐Bo Xie,Hua Zheng,Mingyang Li,Choon Ki Ahn
标识
DOI:10.1109/tsmc.2020.3011041
摘要
For the conservatism issue of state-feedback control for Takagi–Sugeno (T–S) fuzzy systems, a novel local controller design method and stability analysis approach are proposed in this article. First, based on a membership function piecewise linearization technique, a local linear controller is proposed to form a closed-loop system. Then, a series of system stability conditions are derived using quadratic and piecewise function approaches. Further, with a designed fuzzy local controller and fuzzy Lyapunov function, less conservative stability conditions are obtained. Finally, a simulation example is adopted to make comparisons with existing and proposed methods. The results clearly show the conservatism reduction and excellent performance of the proposed approach.
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