Synchronization control of a class of fractional-order neutral neural networks with mixed time-varying delays
Abstract This paper focuses on the synchronization control problem of fractional-order neutral neural networks (FONNs) characterized by mixed time-varying delays, which include leakage, transmission, distributed, and neutral delays. First, a novel synchronization control system is designed, which comprises a drive system, a response system, and a feedback controller. Subsequently, conditions for asymptotic synchronization between drive and response systems are established in the form of linear matrix inequalities (LMIs) and proven using Lyapunov functional theory, incorporating a variable matrix weighting approach, and Halanay-type inequality. Finally, four simulation examples are conducted to validate the feasibility and effectiveness of the theoretical analysis, demonstrating clear advantages over previously reported results.
Authors
- Yizhen Wang (ORCID: https://orcid.org/0000-0003-1470-8344)
- Wuhao Zhou
- Guoquan Liu
- Shumin Zhou
Institutions
- East China University of Technology (CN)
Publication Details
- Journal
- Journal of Nonlinear Complex and Data Science
- Published
- 2026-09-21
- DOI
- https://doi.org/10.1515/jncds-2026-0019
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00