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المؤلفAouiti C.
المؤلفSakthivel R.
المؤلفTouati F.
تاريخ الإتاحة2022-05-22T11:03:03Z
تاريخ النشر2020
اسم المنشورNeural Computing and Applications
المصدرScopus
المعرّفhttp://dx.doi.org/10.1007/s00521-019-04552-8
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31410
الملخصIn this paper, the problem of the global dissipativity of high-order Hopfield bidirectional associative memory neural networks with time-varying coefficients and distributed delays is discussed. By using Lyapunov?Krasovskii functional method, inequality techniques and linear matrix inequalities, a novel set of sufficient conditions for global dissipativity and global exponential dissipativity for the addressed system is developed. Further, the estimations of the positive invariant set, globally attractive set and globally exponentially attractive set are found. Finally, two examples with numerical simulations are provided to support the feasibility of the theoretical findings.
اللغةen
الناشرSpringer
الموضوعAssociative processing
Associative storage
Linear matrix inequalities
Memory architecture
Nonlinear control systems
Time varying networks
Dissipativity
Distributed delays
Global dissipativity
High-order neural network
Time varying- delays
Hopfield neural networks
العنوانGlobal dissipativity of high-order Hopfield bidirectional associative memory neural networks with mixed delays
النوعArticle
الصفحات10183-10197
رقم العدد14
رقم المجلد32
dc.accessType Abstract Only


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