Event-triggered stabilization of delayed complex-valued neural networks via reachable set estimation

被引:1
作者
Rajarathinam, Vadivel [1 ]
Unyong, Bundit [1 ]
机构
[1] Phuket Rajabhat Univ, Dept Math, Fac Sci & Technol, Phuket 8300, Thailand
来源
2022 37TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2022) | 2022年
关键词
Synchronization; Event-triggered; Neural networks; Lyapunov function; SYSTEMS;
D O I
10.1109/ITC-CSCC55581.2022.9894857
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper deals with the synchronization problem of delayed complex-valued neural networks (CVNNs) via event-triggered (ET) approach and reachable set approach. Our target is to find an ellipsoid that contains the state trajectory of the system as small as possible in the presence of control. In addition, using the Lyapunov function and inequality approaches, some novel necessary conditions for synchronizing CVNNs under the ET scheme are suggested. An example is presented at the finish of the paper to highlight the feasibility and validity of the proposed techniques and criteria.
引用
收藏
页码:567 / 570
页数:4
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