Abstract
This paper presents a novel sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for the class of delayed neural networks by using the Homo-morphic mapping and the Lyapunov stability theorems. An important feature of the obtained result is its low computational complexity as the reported result can be verified by checking some well-known properties of some certain classes of matrices, which simplify the verification of the derived result.
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CITATION STYLE
Ozcan, N., Yucel, E., & Arik, S. (2015). A novel condition for robust stability of delayed neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9491, pp. 273–280). Springer Verlag. https://doi.org/10.1007/978-3-319-26555-1_31
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