Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays

المؤلف	Aouiti C.
المؤلف	Cherif F.
المؤلف	Touati F.
تاريخ الإتاحة	2022-05-22T11:03:06Z
تاريخ النشر	2019
اسم المنشور	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
المصدر	Scopus
المعرّف	http://dx.doi.org/10.1007/978-3-030-30487-4_3
معرّف المصادر الموحد	http://hdl.handle.net/10576/31431
الملخص	This 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.
اللغة	en
الناشر	Springer Verlag
الموضوع	MATLAB Neural networks Robustness (control systems) Competitive neural network Dissipativity Dissipativity analysis Lyapunov functionals Matlab LMI toolbox Proportional delays Linear matrix inequalities
العنوان	Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays
النوع	Conference Paper
الصفحات	32-42
رقم المجلد	11727 LNCS

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