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

被引：20
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：
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
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
相关论文
共 56 条
[1]   Finite-time synchronization for fuzzy cellular neural networks withtime-varying delays [J].
Abdurahman, Abdujelil ;
Jiang, Haijun ;
Teng, Zhidong .
FUZZY SETS AND SYSTEMS, 2016, 297 :96-111
[2]   The IBD SGI Diagnostic Test Is Frequently Used by Non-gastroenterologists to Screen for Inflammatory Bowel Disease [J].
Berinstein, Jeffrey A. ;
Waljee, Akbar K. ;
Stidham, Ryan W. ;
Higgins, Peter D. R. ;
Govani, Shail M. .
INFLAMMATORY BOWEL DISEASES, 2018, 24 (05) :E18-E18
[3]   Fixed-time synchronization of delayed memristor-based recurrent neural networks [J].
Cao, Jinde ;
Li, Ruoxia .
SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (03)
[4]   Robust fixed-time synchronization for uncertain complex-valued neural networks with discontinuous activation functions [J].
Ding, Xiaoshuai ;
Cao, Jinde ;
Alsaedi, Ahmed ;
Alsaadi, Fuad E. ;
Hayat, Tasawar .
NEURAL NETWORKS, 2017, 90 :42-55
[5]   Finite-Time Synchronization of a Class of Second-Order Nonlinear Multi-Agent Systems Using Output Feedback Control [J].
Du, Haibo ;
He, Yigang ;
Cheng, Yingying .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2014, 61 (06) :1778-1788
[6]   Fixed-time coordinated tracking for second-order multi-agent systems with bounded input uncertainties [J].
Fu, Junjie ;
Wang, Jinzhi .
SYSTEMS & CONTROL LETTERS, 2016, 93 :1-12
[7]   State estimation for complex-valued memristive neural networks with time-varying delays [J].
Guo, Runan ;
Zhang, Ziye ;
Gao, Ming .
ADVANCES IN DIFFERENCE EQUATIONS, 2018,
[8]   Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays [J].
Guo, Runan ;
Zhang, Ziye ;
Liu, Xiaoping ;
Lin, Chong ;
Wang, Haixia ;
Chen, Jian .
NEUROCOMPUTING, 2018, 275 :2041-2054
[9]   Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays [J].
Guo, Runan ;
Zhang, Ziye ;
Liu, Xiaoping ;
Lin, Chong .
APPLIED MATHEMATICS AND COMPUTATION, 2017, 311 :100-117
[10]   Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence [J].
Hirose, Akira ;
Yoshida, Shotaro .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 23 (04) :541-551
123456