کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
412911 | 679688 | 2010 | 10 صفحه PDF | دانلود رایگان |

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.
Journal: Neurocomputing - Volume 73, Issues 7–9, March 2010, Pages 1384–1393