Global Stabilization for Delayed Fuzzy Inertial Neural Networks

被引：0
|
作者：
Xiao, Qiang [1 ,2 ]
Huang, Tingwen [3 ]
Zeng, Zhigang [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
[2] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
[3] Texas A&M Univ Qatar, Dept Math, Doha, Qatar
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT II | 2019年 / 11555卷
关键词：
Asymptotic and exponential stabilization; Inertial neural networks; Non-reduced order method; T-S fuzzy logic; Time delay; EXPONENTIAL STABILITY; SYNCHRONIZATION;
D O I：
10.1007/978-3-030-22808-8_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper studies the global stabilization problem for a class of fuzzy inertial neural networks (FINN) with time delays and deals with the FINN directly by non-reduced order method. By Lyapunov theory and some analytical techniques, some criteria of global asymptotic and exponential stabilization for the considered FINN are obtained. An example is given to show the effectiveness and validity of the theoretical results.
引用
收藏
页码：62 / 69
页数：8
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