Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
Journal Home Volume Issue |
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Issue |
Volume-6, Issue-4 ( Apr, 2018 ) | |||||||||
Paper Title |
Global Asymptotic Robust Stability of Dynamical Neural Networks with Constant Time Delays | |||||||||
Author Name |
Sabri Arik | |||||||||
Affilition |
Department of Computer Engineering, Faculty of Engineering, Istanbul University 34320 Avcilar, Istanbul, Turkey | |||||||||
Pages |
1-5 | |||||||||
Abstract |
This paper deals with the problem of global asymptotic robust stability of continuous-time neural networks with constant time delays. By employing the Lyapunov stability theorems and using some basic properties of the interval matrices, we derive a new delay independent sufficient condition for the uniqueness and global robust asymptotic stability of the equilibrium point for delayed neural networks. The obtained result can be easily verified and it is only dependent on the network parameters of neural system. Keywords- Robust Stability Analysis, Neural Networks, Lyapunov Stability Theorems. | |||||||||
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