控制理论(社会学)
自适应控制
模糊控制系统
模糊逻辑
非线性系统
理论(学习稳定性)
固定点
数学
计算机科学
奇点
区间(图论)
自适应系统
数学优化
控制(管理)
人工智能
机器学习
物理
量子力学
组合数学
数学分析
作者
Kaixin Lu,Zhi Liu,Yaonan Wang,C. L. Philip Chen
标识
DOI:10.1109/tfuzz.2020.3028458
摘要
Most current methodologies on fixed-time adaptive fuzzy control for uncertain nonlinear systems result in practical fixed-time stability but not fixed-time stability, or require prior knowledge of the system dynamics. To obviate such restrictions, a fixed-time adaptive fuzzy control scheme is newly proposed with the discoveries of a singularity-avoidance virtual control design, a modified class of tuning functions and a projection operator-based adaptation mechanism. Fixed-time stability is established in the sense that the tracking error asymptotically converges to a user-defined interval within a prescribed fixed time. Illustrative examples verify the approaches developed.
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