کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408172 678250 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new condition for robust stability of uncertain neural networks with time delays
ترجمه فارسی عنوان
یک شرایط جدید برای ثبات قوی شبکه های عصبی نامشخص با تاخیر زمانی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

This paper is concerned with the global asymptotic stability problem of dynamical neural networks with multiple time delays under parameter uncertainties. First carrying out an analysis of existence and uniqueness of the equilibrium point by means of the Homeomorphism theory, and then, studying the global asymptotic stability of the equilibrium point by constructing a suitable Lyapunov functional, we derive a new global robust stability criterion for the class of delayed neural networks with respect to the Lipschitz activation functions. The result obtained establishes a relationship between the neural network parameters only and it is independent of the time delay parameters. It is shown that the established stability condition generalizes some existing ones and it can be considered to an alternative result to some other corresponding results derived in previous literature. We also give some comparative numerical examples to demonstrate the validity and effectiveness of our proposed result.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 128, 27 March 2014, Pages 476–482
نویسندگان
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