Impulsive Control on the Exponential Stability of Neural Networks Involving Conformable Derivative
Exponential stability of an impulsive artificial neural network model is investigated using a Lyapunov function. Impulsive control mechanisms, characterized by discrete and sudden interventions, are analyzed for their profound impact on the dynamical behavior of neural networks. It is shown that the stability of the equilibrium depends on the impulse effect.
Authors
- Musa Emre Kavgacı (ORCID: https://orcid.org/0000-0002-8605-4346)
- Fatma Karakoç (ORCID: https://orcid.org/0000-0002-4351-0073)
- Levent Furkan Direkçi (ORCID: https://orcid.org/0009-0001-0471-7303)
Institutions
- Ankara University (TR)
Publication Details
- Journal
- Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics
- Published
- 2026-06-30
- DOI
- https://doi.org/10.31801/cfsuasmas.1667688
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00