Stability of a class of fractional-order neural networks (FONNs) is analyzed in this paper. First, two sufficient conditions for convergence of the solution for such systems are obtained by utilizing Gronwall–Bellman lemma and Laplace transform technique. Then, according to the fractional-order Lyapunov second method and linear feedback control, the synchronization problem between two fractional-order chaotic neural networks is investigated. Finally, several numerical examples are presented to justify the feasibility of the proposed methods
In this paper, the global Mittag–Leffler stabilization of fractional-order BAM neural networks is in...
In this paper, the synchronization problem of fractional-order complex-valued neural networks with d...
In this paper, we study the finite-time stability and synchronization problem of a class o...
This paper proposes the relaxed criteria about the problem of synchronization and stability for the ...
Abstract Observer design for nonlinear systems is very important in state-based stabilization, fault...
At present, the theory and application of fractional-order neural networks remain in the exploratory...
This paper concentrates on the study of adaptive control for the synchronization of fractional-order...
In this paper, we study the synchronization of a new fractional-order neural network with multiple d...
In this paper, we study the synchronization of a new fractional-order neural network with multiple d...
In this paper, we study the synchronization of a new fractional-order neural network with multiple d...
The issue of robust stability for fractional-order Hopfield neural networks with parameter uncertain...
The global synchronization of complex networks with fractional-order chaotic nodes is investigated v...
An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural netw...
This article investigates quasi-synchronization for a class of fractional-order delayed neural netwo...
This paper addresses the synchronization issue for the drive-response fractional-order memristor‐bas...
In this paper, the global Mittag–Leffler stabilization of fractional-order BAM neural networks is in...
In this paper, the synchronization problem of fractional-order complex-valued neural networks with d...
In this paper, we study the finite-time stability and synchronization problem of a class o...
This paper proposes the relaxed criteria about the problem of synchronization and stability for the ...
Abstract Observer design for nonlinear systems is very important in state-based stabilization, fault...
At present, the theory and application of fractional-order neural networks remain in the exploratory...
This paper concentrates on the study of adaptive control for the synchronization of fractional-order...
In this paper, we study the synchronization of a new fractional-order neural network with multiple d...
In this paper, we study the synchronization of a new fractional-order neural network with multiple d...
In this paper, we study the synchronization of a new fractional-order neural network with multiple d...
The issue of robust stability for fractional-order Hopfield neural networks with parameter uncertain...
The global synchronization of complex networks with fractional-order chaotic nodes is investigated v...
An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural netw...
This article investigates quasi-synchronization for a class of fractional-order delayed neural netwo...
This paper addresses the synchronization issue for the drive-response fractional-order memristor‐bas...
In this paper, the global Mittag–Leffler stabilization of fractional-order BAM neural networks is in...
In this paper, the synchronization problem of fractional-order complex-valued neural networks with d...
In this paper, we study the finite-time stability and synchronization problem of a class o...