Adaptive Fast Finite-Time Fuzzy Control of Stochastic Nonlinear Systems

被引:34
|
作者
You, Zhaoyang [1 ]
Wang, Fang [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear systems; Stability criteria; Convergence; Fuzzy logic; Fuzzy control; Transient analysis; Stochastic systems; Adaptive fuzzy control; backstepping method; fast finite-time stability; stochastic nonlinear systems; OUTPUT-FEEDBACK STABILIZATION; TRACKING CONTROL; APPROXIMATION; STABILITY;
D O I
10.1109/TFUZZ.2021.3078820
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码:2279 / 2288
页数:10
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