Abstract: In this paper, the global exponential synchronization problem is considered for a class of BAM neural networks with time-varying delays. By using Lyapunov functional method and analysis techniques, three sufficient conditions for the global exponential synchronization of the drive-response system are derived. Two numerical examples are given in the end to illustrated the effectiveness of our theoretical results.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Fengyan Zhou, "Global Exponential Synchronization of a Class of BAM Neural Networks with Time-Varying Delays," WSEAS Transactions on Mathematics, vol. 12, pp. -, 2013, DOI:
Fengyan Zhou. Global Exponential Synchronization of a Class of BAM Neural Networks with Time-Varying Delays.
WSEAS Transactions on Mathematics. 2013;12:-.