Reliable impulsive synchronization for fuzzy neural networks with mixed controllers

被引：17
作者：
Liu, Fen [1 ]
Liu, Chang [1 ]
Rao, Hongxia [1 ]
Xu, Yong [1 ]
Huang, Tingwen [2 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China
[2] Texas A&M Univ, Doha 23874, Qatar
来源：
NEURAL NETWORKS | 2021年 / 143卷
基金：
中国国家自然科学基金;
关键词：
Fuzzy neural networks; Synchronization; Random actuator failure; Impulsive control; Mixed controller; H-INFINITY CONTROL; STABILITY; DISCRETE; SYSTEMS;
D O I：
10.1016/j.neunet.2021.08.013
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work studies the synchronization of the master-slave (MS) fuzzy neural networks (FNNs) with random actuator failure, where the state information of the master FNNs can not be obtained directly. To reduce the loads of the communication channel and the controller, the simultaneously impulsive driven strategy of the communication channel and the controller is proposed. On the basis of the received measurements of the master FNNs, the mixed controller consisting of observer based controller and the static controller is designed. The randomly occurred actuator failure is also considered. According to the Lyapunov method, the sufficient conditions are achieved to ensure the synchronization of the MS FNNs, and the controller gains are designed by using the obtained results. The validity of the derived results is illustrated by a numerical example. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码：759 / 766
页数：8
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