Abstract In this article, a kind of fuzzy cellular neural networks (FCNNs) with proportional delays and leakage delays are involved. Utilizing the differential inequality strategies, a sequence of sufficient criteria ensuring the global exponential convergence of involved model are presented. Computer simulations are performed to verify the analytic findings. The analytic findings of this article are innovative and complete several existing works
AbstractIn this paper, the sampled measurement is used to estimate the neuron states, instead of the...
In this paper, the sampled measurement is used to estimate the neuron states, instead of the continu...
This paper is concerned with the exponential state estimation problem for a class of discrete-time f...
This paper considers existence, uniqueness and the global asymptotic stability of fuzzy cellular neu...
Abstract In this paper, a class of impulsive bidirectional associative memory (BAM) fuzzy cellular n...
AbstractThis paper deals with the problem of state estimation for fuzzy cellular neural networks (FC...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with time delays in the leaka...
This paper is concerned with the global dissipativity of fuzzy cellular neural networks with inertia...
This pap er deals with the problem of nonp erio dic arrange ments for fuzzy cell neuralsystems with ...
In this paper, we investigate a generalized model of fuzzy cellular neural networks with distributed...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and r...
In the present paper, we prove the existence of unique almost periodic solutions to fuzzy shunting i...
AbstractThe aim of this paper is to study the invariant and attracting set of fuzzy cellular neural ...
https://advancesindifferenceequations.springeropen.com/articles/10.1186/s13662-019-2321-z#rightslink...
Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions f...
AbstractIn this paper, the sampled measurement is used to estimate the neuron states, instead of the...
In this paper, the sampled measurement is used to estimate the neuron states, instead of the continu...
This paper is concerned with the exponential state estimation problem for a class of discrete-time f...
This paper considers existence, uniqueness and the global asymptotic stability of fuzzy cellular neu...
Abstract In this paper, a class of impulsive bidirectional associative memory (BAM) fuzzy cellular n...
AbstractThis paper deals with the problem of state estimation for fuzzy cellular neural networks (FC...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with time delays in the leaka...
This paper is concerned with the global dissipativity of fuzzy cellular neural networks with inertia...
This pap er deals with the problem of nonp erio dic arrange ments for fuzzy cell neuralsystems with ...
In this paper, we investigate a generalized model of fuzzy cellular neural networks with distributed...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and r...
In the present paper, we prove the existence of unique almost periodic solutions to fuzzy shunting i...
AbstractThe aim of this paper is to study the invariant and attracting set of fuzzy cellular neural ...
https://advancesindifferenceequations.springeropen.com/articles/10.1186/s13662-019-2321-z#rightslink...
Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions f...
AbstractIn this paper, the sampled measurement is used to estimate the neuron states, instead of the...
In this paper, the sampled measurement is used to estimate the neuron states, instead of the continu...
This paper is concerned with the exponential state estimation problem for a class of discrete-time f...