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AuthorAouiti C.
AuthorCherif F.
AuthorTouati F.
Available date2022-05-22T11:03:06Z
Publication Date2019
Publication NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ResourceScopus
Identifierhttp://dx.doi.org/10.1007/978-3-030-30487-4_3
URIhttp://hdl.handle.net/10576/31431
AbstractThis paper dealt with the dissipativity problem for a class of competitive neural networks with proportional delays. Based on Lyapunov functionals approach, new sufficient conditions are derived to ensuring the strictly $$(Q,\; S^{*},\; R)-$$ dissipative of the model. The conditions are presented in terms of linear matrix inequalities (LMIs) and can be easily numerically checked by the MATLAB LMI toolbox. At last, a numerical example with simulation is given to illustrate the validity of the obtained theoretical results.
Languageen
PublisherSpringer Verlag
SubjectMATLAB
Neural networks
Robustness (control systems)
Competitive neural network
Dissipativity
Dissipativity analysis
Lyapunov functionals
Matlab LMI toolbox
Proportional delays
Linear matrix inequalities
TitleDissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays
TypeConference Paper
Pagination32-42
Volume Number11727 LNCS
dc.accessType Abstract Only


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