Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24325932.
- Also identified by DOI 10.1016/j.neunet.2013.11.016.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
The present paper introduces memristor-based fractional-order neural networks. The conditions on the global Mittag-Leffler stability and synchronization are established by using Lyapunov method for these networks. The analysis in the paper employs results from the theory of fractional-order differential equations with discontinuous right-hand sides. The obtained results extend and improve some previous works on conventional memristor-based recurrent neural networks.
Medical subject headings
- Neural Networks, Computer