1. New Sufficient Conditions for Global Robust Stability of Delayed Neural Networks.
- Author
-
Houduo Qi
- Subjects
ARTIFICIAL neural networks ,ARTIFICIAL intelligence ,EVOLUTIONARY computation ,COMPUTATIONAL complexity ,ELECTRONIC data processing ,MACHINE theory ,MATHEMATICAL models ,ALGORITHMS ,COMPUTER programming - Abstract
In this paper, we continue to explore application of nonsmooth analysis to the study of global asymptotic robust stability (GARS) of delayed neural networks. In combination with Lyapunov theory, our approach gives several new types of sufficient conditions ensuring GARS. A significant common aspect of our results is their low computational complexity. It is demonstrated that the reported results can be verified either by conducting spectral decompositions of symmetric matrices associated with the uncertainty sets of network parameters, or by solving a semidefinite programming problem. Nontrivial examples are constructed to compare with some closely related existing results. [ABSTRACT FROM AUTHOR]
- Published
- 2007
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