Adaptive Fuzzy Fixed-Time Decentralized Control for Stochastic Nonlinear Systems

被引：85
作者：
Li, Kewen [1 ]
Li, Yongming [2 ]
Zong, Guangdeng [3 ]
机构：
[1] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China
[2] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
[3] Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2021年 / 29卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Adaptive systems; Nonlinear systems; Decentralized control; Fuzzy logic; Stability analysis; Control design; Artificial neural networks; Adaptive fuzzy control; decentralized control; fixed-time control; stochastic interconnected nonlinear systems; OUTPUT-FEEDBACK CONTROL; LARGE-SCALE SYSTEMS; STABILITY; TRACKING; STABILIZATION; NETWORKS; DESIGN;
D O I：
10.1109/TFUZZ.2020.3022570
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 studies the problem of adaptive fuzzy fixed-time decentralized control for nonlinear interconnected systems with stochastic disturbances and unknown nonlinearities. In control design, fuzzy logic systems are utilized to identify the unknown nonlinear functions. Combining stochastic fixed-time Lyapunov stability theory with adaptive backstepping control technique, a fuzzy adaptive fixed-time decentralized control design algorithm is developed by adopting smooth projection operator. It is proved that all the state variables of the closed-loop system are globally fixed-time stable in probability. Finally, both numerical and practical examples are provided to elucidate the feasibility of the proposed control algorithm.
引用
收藏
页码：3428 / 3440
页数：13
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