|
|||||
|
|
Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays |
|
| Authors: | Hajer Brahmi Boudour Ammar Farouk Chérif Adel M Alimi |
| Affiliation: | 1. Research Group on Intelligent Machines, Department of Electrical and Computer Engineering, National Engineering School of Sfax (ENIS), University of Sfax, Sfax, Tunsia;2. ISSATS, Laboratory of Math Physics;3. Specials Functions and Applications, Ecole Superieure des Sciences et de Technologie, University of Sousse, Sousse, Tunsia |
| Abstract: | This paper investigates the problems of stability and synchronization for high-order recurrent neural networks with mixed delays. Firstly, we establish sufficient conditions to ensure the asymptotic stability and then the exponential synchronization. Furthermore, our results are applied to two chosen systems to demonstrate the effectiveness of the obtained theoretical results. |
| Keywords: | Asymptotic stability exponential synchronization high-order neural network |