非线性系统
外稃(植物学)
控制理论(社会学)
理论(学习稳定性)
模糊控制系统
数学
自适应控制
模糊逻辑
随机过程
计算机科学
控制(管理)
生态学
统计
物理
禾本科
量子力学
人工智能
机器学习
生物
作者
Zhaoyang You,Fang Wang
标识
DOI:10.1109/tfuzz.2021.3078820
摘要
This article focuses on the adaptive fast finite-time tracking control for a class of stochastic nonlinear systems. To begin with, an adequate qualification is provided for the practically fast finite-time stability. Then, based upon this adequate qualification, a new adaptive fuzzy control scheme is presented. Due to the stochastic disturbance, criteria of the existing fast finite-time stability cannot be applied to the analysis of the stability of stochastic nonlinear systems. To solve this issue, based on Lemma 6, an original criterion of the fast finite-time stability is constructed first in Lemma 7 by using the theorem of the integral mean value. Meanwhile, it would have a huge impact on the analysis of the fast finite-time stability for stochastic nonlinear systems. Finally, a simulation example is carried out for evaluating the validity of the main result.
科研通智能强力驱动
Strongly Powered by AbleSci AI