Add to ORKGAbstract In this paper, a class of impulsive bidirectional associative memory (BAM) fuzzy cellular neural networks (FCNNs) with time delays in the leakage terms and distributed delays is formulated and investigated. By establishing an integro-differential inequality with impulsive initial conditions and employing M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for impulsive BAM FCNNs with time delays in the leakage terms and distributed delays are obtained. In particular, the estimate of the exponential convergence rate is also provided, which depends on the delay kernel functions and system parameters. It is believed that these results are significant and ...
AbstractThis paper deals with the problem of state estimation for fuzzy cellular neural networks (FC...
This work is devoted to investigating the stability of impulsive cellular neural networks with time-...
In this paper, global exponential stability and exponential convergence are studied for a class of i...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with time delays in the leaka...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and r...
This paper considers existence, uniqueness and the global asymptotic stability of fuzzy cellular neu...
In this paper, we investigate a generalized model of fuzzy cellular neural networks with distributed...
Abstract In this article, a kind of fuzzy cellular neural networks (FCNNs) with proportional delays ...
In this paper, a class of impulsive bi-directional associative memory (BAM) neural networks with tim...
AbstractIn this paper, we investigate a class of impulsive BAM neural networks with time-varying del...
In this paper, the discrete-time fuzzy BAM neural network with delays and impulses is studied. Suffi...
In this paper, the problem of stability analysis for a class of impulsive stochastic fuzzy neural ne...
AbstractUsing M-matrix and topological degree tool, sufficient conditions are obtained for the exist...
Impulsive bidirectional associative memory neural network model with time-varying delays and reactio...
Abstract We study fuzzy stochastic bidirectional associative memory cellular neural networks with di...
AbstractThis paper deals with the problem of state estimation for fuzzy cellular neural networks (FC...
This work is devoted to investigating the stability of impulsive cellular neural networks with time-...
In this paper, global exponential stability and exponential convergence are studied for a class of i...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with time delays in the leaka...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and r...
This paper considers existence, uniqueness and the global asymptotic stability of fuzzy cellular neu...
In this paper, we investigate a generalized model of fuzzy cellular neural networks with distributed...
Abstract In this article, a kind of fuzzy cellular neural networks (FCNNs) with proportional delays ...
In this paper, a class of impulsive bi-directional associative memory (BAM) neural networks with tim...
AbstractIn this paper, we investigate a class of impulsive BAM neural networks with time-varying del...
In this paper, the discrete-time fuzzy BAM neural network with delays and impulses is studied. Suffi...
In this paper, the problem of stability analysis for a class of impulsive stochastic fuzzy neural ne...
AbstractUsing M-matrix and topological degree tool, sufficient conditions are obtained for the exist...
Impulsive bidirectional associative memory neural network model with time-varying delays and reactio...
Abstract We study fuzzy stochastic bidirectional associative memory cellular neural networks with di...
AbstractThis paper deals with the problem of state estimation for fuzzy cellular neural networks (FC...
This work is devoted to investigating the stability of impulsive cellular neural networks with time-...
In this paper, global exponential stability and exponential convergence are studied for a class of i...