Without assuming monotonicity and differentiability of the activation functions and any symmetry of interconnections, we establish some sufficient conditions for the globally asymptotic stability of a unique equilibrium for the Cohen–Grossberg neu-ral network with multiple delays. Lyapunov functionals and functions combined with the Razumikhin technique are employed. The criteria are all independent of the magnitudes of the delays, and thus the delays under these conditions are harmless
In this paper, we study global robust asymptotic stability of the equilibrium point for neural netwo...
The asymptotic stability is investigated for a class of time-delay Cohen-Grossberg neural networks, ...
This research article considers the problem regarding global robust asymptotic stability of the gene...
Abstract. The dynamic behavior of Cohen-Grossberg neural networks with multiple delays and nonsymmet...
This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic s...
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 ...
In this note, we study the equilibrium and stability properties of neural networks with time varying...
This paper studies the problems of existence, uniqueness, global asymptotic stability and global exp...
The problems of existence, uniqueness and global exponential stability of the equilibrium of Cohen-G...
By employing the notion of M-matrices and Banach's contraction mapping theorem, we provide complete ...
This research work conducts an investigation of the stability issues of neutral-type Cohen-Grossberg...
The key contribution of this paper is to study the stability analysis of neutral-type Cohen-Grossber...
This paper deals with the problem of the global robust asymptotic stability of the class of dynamica...
AbstractIn this paper, the global stability problem for a general discrete Cohen–Grossberg neural ne...
In this paper, we study global robust asymptotic stability of the equilibrium point for neural netwo...
The asymptotic stability is investigated for a class of time-delay Cohen-Grossberg neural networks, ...
This research article considers the problem regarding global robust asymptotic stability of the gene...
Abstract. The dynamic behavior of Cohen-Grossberg neural networks with multiple delays and nonsymmet...
This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic s...
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 ...
In this note, we study the equilibrium and stability properties of neural networks with time varying...
This paper studies the problems of existence, uniqueness, global asymptotic stability and global exp...
The problems of existence, uniqueness and global exponential stability of the equilibrium of Cohen-G...
By employing the notion of M-matrices and Banach's contraction mapping theorem, we provide complete ...
This research work conducts an investigation of the stability issues of neutral-type Cohen-Grossberg...
The key contribution of this paper is to study the stability analysis of neutral-type Cohen-Grossber...
This paper deals with the problem of the global robust asymptotic stability of the class of dynamica...
AbstractIn this paper, the global stability problem for a general discrete Cohen–Grossberg neural ne...
In this paper, we study global robust asymptotic stability of the equilibrium point for neural netwo...
The asymptotic stability is investigated for a class of time-delay Cohen-Grossberg neural networks, ...
This research article considers the problem regarding global robust asymptotic stability of the gene...