کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412911 679688 2010 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Delay-dependent passivity criterion for discrete-time delayed standard neural network model
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Delay-dependent passivity criterion for discrete-time delayed standard neural network model
چکیده انگلیسی

In this paper, the problem of robust passivity for discrete-time delayed standard neural network model (DDSNNM) with time-varying delays and norm-bounded parameters uncertainties is investigated. The model is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator. The DDSNNM is applied to analyze the passivity of discrete-time recurrent neural networks and synthesize the state-feedback passive controller for discrete-time nonlinear system modeled by the neural networks. By constructing suitable Lyapunov–Krasovskii functional, the delay-dependent passivity criterion for discrete-time delayed standard neural network model is obtained in terms of linear matrix inequality. Numerical examples are given to illustrate the effectiveness of the proposed methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 7–9, March 2010, Pages 1384–1393
نویسندگان
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