Investigating dynamics of one weakly nonlinear system with delay argument
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F18%3APU130493" target="_blank" >RIV/00216305:26620/18:PU130493 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1615/JAutomatInfScien.v50.i1.20" target="_blank" >http://dx.doi.org/10.1615/JAutomatInfScien.v50.i1.20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1615/JAutomatInfScien.v50.i1.20" target="_blank" >10.1615/JAutomatInfScien.v50.i1.20</a>
Alternative languages
Result language
angličtina
Original language name
Investigating dynamics of one weakly nonlinear system with delay argument
Original language description
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).
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA16-08549S" target="_blank" >GA16-08549S: Dynamical Systems Identification on Time Scales</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of automation and information sciences
ISSN
1064-2315
e-ISSN
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Volume of the periodical
50
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
20-38
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85046714491