Add to ORKGIn this paper, a generalized model of Cohen-Grossberg neural networks (CGNNs) with time-varying delays and reaction-diffusion term is investigated. By constructing suitable Lyapunov functional, inequality technique and M-matrix theory, some sufficient conditions for global exponential stability of generalized CGNNs with time-varying delays and reaction-diffusion term are obtained. An examples are given to show the effectiveness of the obtained results. Key words: Cohen-Grossberg neural networks; time-varying delays; reaction-diffusion; global exponential stability. 1
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This paper studies the global exponential stability for a class of impulsive disturbance complex-val...
This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic s...
This paper is concerned with the exponential estimating problem for Cohen-Grossberg neural networks ...
In this paper, a generalized reaction-diffusion model of Cohen-Grossberg neural networks with time-v...
The problems of existence, uniqueness and global exponential stability of the equilibrium of Cohen-G...
This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen...
AbstractA model describing the dynamics of Cohen-Grossberg neural networks with time-delays and impu...
This paper studies the problems of existence, uniqueness, global asymptotic stability and global exp...
In this paper, the problem of stability analysis for a class of impulsive Cohen-Grossberg neural net...
In this paper, using a fixed-point theorem and re-duction to absurdity, we have obtained some suffi-...
This paper concerns the problem of exponential stability for a class of Cohen-Grossberg neural netwo...
This paper studies the global convergence properties of Cohen-Grossberg neural networks with discret...
Abstract—This paper is concerned with the global asymptotic stability of a class of Cohen–Grossberg ...
Abstract. The dynamic behavior of Cohen-Grossberg neural networks with multiple delays and nonsymmet...
In this paper, a generalized model of Cohen-Grossberg neural net-works with periodic coefficients an...
This paper studies the global exponential stability for a class of impulsive disturbance complex-val...
This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic s...
This paper is concerned with the exponential estimating problem for Cohen-Grossberg neural networks ...