Event triggered synchronization of generalized variable‐order fractional neural networks with time delay
Abstract This article discusses the Mittag–Leffler synchronization (MLS) for generalized variable‐order fractional (GVOF) neural networks with time delay via event triggering mechanism (ETM). First, a new GVOF inequality and stability theorem is derived, which extends existing results. Second, by employing ETM, a sufficient condition to obtain drive‐response MLS of GVOF systems is presented. Ultimately, the Zeno behavior is eliminated. In addition, an example is established to test the derived results.
Authors
- Jinde Cao (ORCID: https://orcid.org/0000-0003-3133-7119)
- Chunlin Sha
- Wei Wei Zhang (ORCID: https://orcid.org/0000-0001-5316-9721)
Institutions
- Anqing Normal University (CN)
- Southeast University (CN)
- Ministry of Industry and Information Technology (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Asian Journal of Control
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1002/asjc.3619
- Citations
- 1
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Anhui Province
- Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province