Novel Asymptotic Synchronization Criteria on Riemann-Liouville Derivative Type Nonidentical Delayed Neural Networks
- Resource Type
- Article
- Authors
- Hongmei Zhang; Hai Zhang; Weiwei Zhang; Chen Wang
- Source
- International Journal of Control, Automation, and Systems, 21(4), pp.1373-1381 Apr, 2023
- Subject
- 제어계측공학
- Language
- English
- ISSN
- 2005-4092
1598-6446
This article focuses on investigating the asymptotic synchronization of two nonidentical RiemannLiouville (R-L) fractional-order delayed neural networks (FDNNs). Compared with the existing literature, the considered model is concerned with the nonidentical FDNNs rather than identical NNs. Under a novel feedback controller, two asymptotic synchronization criteria on FDNNs are established by utilizing the Lyapunov direct method. The derived criteria are concise and easy to test in actual applications. A numerical example is given to verify the availability of the presented results for nonidentical FDNNs.