Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1866363 | Physics Letters A | 2007 | 10 Pages |
Abstract
This Letter investigates the problem of stability analysis for a class of high-order neural networks with time-varying delays. The delays are bounded but not necessarily differentiable. Based on the Lyapunov stability theory together with the linear matrix inequality (LMI) approach and the use of Halanay inequality, sufficient conditions guaranteeing the global exponential stability of the equilibrium point of the considered neural networks are presented. Two numerical examples are provided to demonstrate the effectiveness of the proposed stability criteria.
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Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Baoyong Zhang, Shengyuan Xu, Yongmin Li, Yuming Chu,