An analysis of global robust stability of delayed dynamical neural networks

作者：Yucel Eylem^*

来源：Neurocomputing, 2015, 165: 436-443.

DOI：10.1016/j.neucom.2015.03.070

• Neural networks
• Delayed systems
• Lyapunov Functionals
• Stability analysis

This paper studies the problem of establishing robust asymptotic stability of neural networks with multiple time delays and in the presence of the parameter uncertainties of the network. A new sufficient condition ensuring robust asymptotic stability is presented by manipulating the properties of some certain classes of real matrices and employing Homomorphic mapping and Lyapunov stability theorems. A numerical example is given to show that the condition obtained can outperform alternative ones in terms of conservatism and computational complexity.

• 出版日期2015-10-1