This paper considers existence, uniqueness and the global asymptotic stability of fuzzy cellular neural networks with mixed delays. The mixed delays include constant delay in the leakage term (i.e., "leakage delay"), time-varying delays and continuously distributed delays. Based on the Lyapunov method and the linear matrix inequality (LMI) approach, some sufficient conditions ensuring global asymptotic stability of the equilibrium point are derived, which are dependent on both the discrete and distributed time delays. These conditions are expressed in terms of LMI and can be easily checked by MATLAB LMI toolbox. In addition, two numerical examples are given to illustrate the feasibility of the result. (C) 2010 The Franklin Institute. Publis...
In this paper, the sampled measurement is used to estimate the neuron states, instead of the continu...
AbstractIn this paper, the existence and uniqueness of the equilibrium point and absolute stability ...
AbstractIn this paper, the problem of global exponential stability for cellular neural networks (CNN...
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 time delays in the leaka...
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Abstract In this paper, a class of impulsive bidirectional associative memory (BAM) fuzzy cellular n...
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In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and r...
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This work is devoted to investigating the stability of impulsive cellular neural networks with time-...
In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analy...
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This paper is concerned with the global dissipativity of fuzzy cellular neural networks with inertia...
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...
AbstractIn this paper, the existence and uniqueness of the equilibrium point and absolute stability ...
AbstractIn this paper, the problem of global exponential stability for cellular neural networks (CNN...
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 time delays in the leaka...
AbstractThis paper deals with the problem of state estimation for fuzzy cellular neural networks (FC...
Abstract In this paper, a class of impulsive bidirectional associative memory (BAM) fuzzy cellular n...
In this paper, the problem of stability analysis for a class of impulsive stochastic fuzzy neural ne...
In this paper, a class of impulsive BAM fuzzy cellular neural networks with distributed delays and r...
Abstract In this article, a kind of fuzzy cellular neural networks (FCNNs) with proportional delays ...
This work is devoted to investigating the stability of impulsive cellular neural networks with time-...
In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analy...
Abstract. In this paper, the impulsive fuzzy recurrent neural network with both time-varying delays ...
This paper is concerned with the global dissipativity of fuzzy cellular neural networks with inertia...
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...
AbstractIn this paper, the existence and uniqueness of the equilibrium point and absolute stability ...
AbstractIn this paper, the problem of global exponential stability for cellular neural networks (CNN...