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dc.contributor.authorStamov, Gani
dc.contributor.authorTomasiello, Stefania
dc.contributor.authorStamova, Ivanka
dc.contributor.authorSpirova, Cvetelina
dc.date.accessioned2021-04-19T15:17:58Z
dc.date.available2021-04-19T15:17:58Z
dc.date.issued12/21/2019
dc.identifierdoi: 10.3390/math8010027
dc.identifier.citationMathematics 8 (1): 27 (2020)
dc.identifier.urihttps://hdl.handle.net/20.500.12588/471
dc.description.abstractThe paper proposes an extension of stability analysis methods for a class of impulsive reaction-diffusion Cohen-Grossberg delayed neural networks by addressing a challenge namely stability of sets. Such extended concept is of considerable interest to numerous systems capable of approaching not only one equilibrium state. Results on uniform global asymptotic stability and uniform global exponential stability with respect to sets for the model under consideration are established. The main tools are expansions of the Lyapunov method and the comparison principle. In addition, the obtained results for the uncertain case contributed to the development of the stability theory of uncertain reaction-diffusion Cohen-Grossberg delayed neural networks and their applications. Moreover, examples are given to demonstrate the feasibility of our results.
dc.titleStability of Sets Criteria for Impulsive Cohen-Grossberg Delayed Neural Networks with Reaction-Diffusion Terms
dc.date.updated2021-04-19T15:18:00Z


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