Bifurcation Investigating of a Fractional Neural Networks Involving Incommensurate Delays
In this current article, an issue of Hopf bifurcation control about a novel fractional-order network owing multiple delays and feedback gain is formulated. The bifurcation parameter time delay is selected as the bifurcation parameter. The stability conditions and the bifurcation point are established. Ultimately, a simulation example is provided to verify the validity of the obtained newly results. The important results obtained in this paper have important theoretical significance and application value for the regulation and control of fractional-order neural networks with time-delay.
Authors
- Xin Hu Wang
- Yongfeng Zhang (ORCID: https://orcid.org/0000-0003-2730-3549)
- Hui Zhang (ORCID: https://orcid.org/0000-0001-5382-8467)
- Tongxing Li (ORCID: https://orcid.org/0000-0003-2159-1949)
- Yan Wang (ORCID: https://orcid.org/0009-0009-0503-4879)
Institutions
- Taishan University (CN)
- Shandong Jianzhu University (CN)
- Shandong Agricultural University (CN)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/icarce63054.2024.00040
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Youth Innovation Technology Project of Higher School in Shandong Province