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AuthorAouiti C.
AuthorSakthivel R.
AuthorTouati F.
Available date2022-05-22T11:03:04Z
Publication Date2020
Publication NameInternational Journal of Systems Science
ResourceScopus
Identifierhttp://dx.doi.org/10.1080/00207721.2020.1764128
URIhttp://hdl.handle.net/10576/31412
AbstractThis paper is concerned with the global dissipativity of fuzzy cellular neural networks with inertial term and proportional delays. Based on Lyapunov functionals and linear matrix inequality approach, new sufficient conditions are derived to ensure the global dissipativity and global exponential dissipativity of the suggested system. Moreover, the globally exponential attractive sets and positive invariant sets are also presented here. Finally, two numerical examples with its simulations are proposed to illustrate the effectiveness of the obtained results.
Languageen
PublisherTaylor and Francis Ltd.
SubjectFuzzy inference
Fuzzy logic
Fuzzy neural networks
Linear matrix inequalities
Dissipativity
Fuzzy cellular neural networks
Global dissipativity
Inertial terms
Linear matrix inequality approach
Lyapunov functionals
Positive invariant set
Cellular neural networks
TitleGlobal dissipativity of fuzzy cellular neural networks with inertial term and proportional delays
TypeArticle
Pagination1392-1405
Issue Number8
Volume Number51
dc.accessType Abstract Only


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