Geodesic
Existence, uniqueness and global asymptotic stability for a class of complex-valued neutral-type neural networks with time delays
Kybernetika, Tome 54 (2018) no. 4, pp. 844-863.

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This paper explores the problem of delay-independent and delay-dependent stability for a class of complex-valued neutral-type neural networks with time delays. Aiming at the neutral-type neural networks, an appropriate function is constructed to derive the existence of equilibrium point. On the basis of homeomorphism theory, Lyapunov functional method and linear matrix inequality techniques, several LMI-based sufficient conditions on the existence, uniqueness and global asymptotic stability of equilibrium point for complex-valued neutral-type neural networks are obtained. Finally, numerical examples are given to illustrate the feasibility and the effectiveness of the proposed theoretical results.
DOI : 10.14736/kyb-2018-4-0844
Classification : 37B25, 92B20
Keywords: complex-valued neutral-type neural networks; existence and uniqueness of equilibrium; global asymptotic stability; inequality techniques; Lyapunov functional 
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     title = {Existence, uniqueness and global asymptotic stability for a class of complex-valued neutral-type neural networks with time delays},
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Tan, Manchun; Xu, Desheng. Existence, uniqueness and global asymptotic stability for a class of complex-valued neutral-type neural networks with time delays. Kybernetika, Tome 54 (2018) no. 4, pp. 844-863. doi : 10.14736/kyb-2018-4-0844. http://geodesic.mathdoc.fr/articles/10.14736/kyb-2018-4-0844/

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