Fixed/Preassigned-Time Synchronization of Complex Variable BAM Neural Networks with Time-Varying Delays

被引：4
作者：
Chen, Zhanheng [1 ,2 ]
Xiong, Kailong [3 ]
Hu, Cheng [3 ]
机构：
[1] Yili Normal Univ, Coll Math & Stat, Yining 835000, Peoples R China
[2] Yili Normal Univ, Inst Appl Math, Yining 835000, Peoples R China
[3] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830017, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 06期
基金：
中国国家自然科学基金;
关键词：
BAM neural network; Complex variable; Fixed; Preassigned-time synchronization; Time-varying delay; IMPULSIVE SYNCHRONIZATION; ADAPTIVE SYNCHRONIZATION; ANTI-SYNCHRONIZATION; DYNAMICAL NETWORKS; FINITE/FIXED TIME; STABILITY; ORDER; STABILIZATION;
D O I：
10.1007/s11063-023-11307-z
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 is mainly devoted to fixed/preassigned-time synchronization problem for a type of full complex-variable BAM neural networks (BAMNNs) by means of direct analysis method to replace the classical decomposition approach. Above all, under the framework of the complex-valued signum function and two different forms of norms, several effective complex-valued control strategies are directly developed to ensure fixed-time synchronization, and the derived criteria are less conservative than the previous related results. In addition, the preassigned-time synchronization is also considered by directly designing some complex-valued control laws with bounded control gains, in which the synchronization time can be preset arbitrarily in advance within the actual allowable range. The theoretical results are lastly supported via numerical examples.
引用
收藏
页码：8181 / 8213
页数：33
相关论文
共 59 条
[1]   The synchronization and stability analysis of delayed fuzzy Cohen-Grossberg neural networks via nonlinear measure method [J].
Abdelaziz, Meryem ;
Cherif, Farouk .
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2022, 34 (02) :215-234
[2]   Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety [J].
Adali, Tulay ;
Schreier, Peter J. ;
Scharf, Louis L. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (11) :5101-5125
[3]  
Aubin JP, 2009, Set-valued analysis, DOI 10.1007/978-0-8176-4848-0
[4]   NEURAL NETWORK FOR QUADRATIC OPTIMIZATION WITH BOUND CONSTRAINTS [J].
BOUZERDOUM, A ;
PATTISON, TR .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1993, 4 (02) :293-304
[5]   Particular-Function-Based Preassigned-Time Stability of Discontinuous System: Novel Control Scheme for Fuzzy Neural Networks [J].
Cai, Zuowei ;
Huang, Lihong ;
Wang, Zengyun .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31 (03) :1020-1030
[6]   Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays [J].
Cao, Jinde ;
Wan, Ying .
NEURAL NETWORKS, 2014, 53 :165-172
[7]   Predefined-time synchronization of competitive neural networks [J].
Chen, Chuan ;
Mi, Ling ;
Liu, Zhongqiang ;
Qiu, Baolin ;
Zhao, Hui ;
Xu, Lijuan .
NEURAL NETWORKS, 2021, 142 :492-499
[8]   Adaptive synchronization of memristor-based BAM neural networks with mixed delays [J].
Chen, Chuan ;
Li, Lixiang ;
Peng, Haipeng ;
Yang, Yixian .
APPLIED MATHEMATICS AND COMPUTATION, 2018, 322 :100-110
[9]   Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay [J].
Chen, Chuan ;
Li, Lixiang ;
Peng, Haipeng ;
Yang, Yixian .
NEURAL NETWORKS, 2017, 96 :47-54
[10]   Recurrent synchronization network for emotion-cause pair extraction [J].
Chen, Fang ;
Shi, Ziwei ;
Yang, Zhongliang ;
Huang, Yongfeng .
KNOWLEDGE-BASED SYSTEMS, 2022, 238
123456