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AuthorAouiti C.
AuthorSakthivel R.
AuthorTouati F.
Available date2022-05-22T11:03:02Z
Publication Date2021
Publication NameIranian Journal of Fuzzy Systems
ResourceScopus
Identifierhttp://dx.doi.org/10.22111/ijfs.2021.5914
URIhttp://hdl.handle.net/10576/31402
AbstractThis article aimed to investigate the problem of global dissipativity of Fuzzy Bidirectional Associative Memory Neural Networks (FBAMNNs- for short) with proportional delays. Via Lyapunov Functionals (LFs- for short) and Linear Matrix Inequality (LMI- for short) approach, we obtained new sufficient conditions to guarantee the global dissipativity and global exponential dissipativity of the proposed model. In addition, two different types of activation functions are considered, including general bounded and Lipschitz-type activation functions. Moreover, the globally attractive and globally exponentially attractive sets are presented. Lastly, two numerical examples are given to illustrate the effectiveness of the developed results.
Languageen
PublisherUniversity of Sistan and Baluchestan
SubjectFBAMNNs
Global dissipativity
Global exponential dissipativity
LMIs
Lyapunov function
Proportional delays
TitleGlobal dissipativity of fuzzy bidirectional associative memory neural networks with proportional delays
TypeArticle
Pagination65-80
Issue Number2
Volume Number18
dc.accessType Abstract Only


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