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
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).
Palavras-chave: weakly nonlinear system, neural network dynamics, system of differential equations with a time-delay argument, Lyapunov direct method
CITADO POR
-
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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