控制理论(社会学)
倒立摆
理论(学习稳定性)
模糊控制系统
模糊逻辑
计算机科学
控制器(灌溉)
控制系统
控制(管理)
数学
工程类
人工智能
非线性系统
机器学习
电气工程
物理
生物
量子力学
农学
作者
Haiqi Qin,Peng-yi Tang
标识
DOI:10.1109/iceitsa54226.2021.00057
摘要
In this article, the stability of the system using T-S fuzzy model with sampled-data control is studied. First, constructed a novel Lyapunov functional, which can solve the required problem. Second, a group of sufficient conditions are obtained to keep the time-delay systems stable and the system performance more optimized. In addition, this article provides an appropriate controller gain. Finally, the inverted pendulum model can fully explain the significance and feasibility of the technology.
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