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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Investigating Dynamics of One Weakly Nonlinear System with Delay Argument

Volume 50, Edição 1, 2018, pp. 20-38
DOI: 10.1615/JAutomatInfScien.v50.i1.20
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RESUMO

A mathematical model of neural network dynamics represented by a system of differential equations with time-delay argument and an asymptotically stable linear part is considered. Using Lyapunov direct method sufficient conditions for asymptotic stability are obtained and exponential estimates of solutions decay are constructed. The results are formulated in the form of matrix algebraic inequalities (using LMI).

CITADO POR
  1. Khusainov Denys, Diblik Josef, Shatyrko Andriy, Bastinec Jaromir, Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay, 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT), 2019. Crossref

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