Fixed-time synchronization for complex-valued BAM neural networks with time delays

被引：19
|
作者：
Zhang, Ziye [1 ]
Guo, Runan [1 ,2 ]
Liu, Xiaoping [3 ]
Zhong, Maiying [4 ]
Lin, Chong [5 ]
Chen, Bing [5 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China
[3] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON, Canada
[4] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Shandong, Peoples R China
[5] Qingdao Univ, Inst Complex Sci, Qingdao, Shandong, Peoples R China
来源：
ASIAN JOURNAL OF CONTROL | 2021年 / 23卷 / 01期
基金：
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词：
complex-valued BAM neural networks; fixed-time synchronization; nonlinear delayed controller; time delays; FINITE-TIME; NONLINEAR-SYSTEMS; STABILITY; STABILIZATION; DESIGN;
D O I：
10.1002/asjc.2185
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the fixed-time synchronization for complex-valued bidirectional associative memory (BAM) neural networks with time delays is studied. Based on the fixed-time stability, the Lyapunov functional method and some inequality techniques, a new criterion is presented to guarantee that the addressed systems achieve synchronization in fixed time and a more accurate estimation independent of the initial conditions is given for the settling time. Meanwhile, a new nonlinear delayed controller different from the existing ones is designed. In the end, two numerical examples are provided to illustrate the effectiveness of the obtained result.
引用
收藏
页码：298 / 314
页数：17
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