Without decomposing complex-valued systems into real-valued systems, this paper
investigates existence, uniqueness, global Mittag-Leffler stability and global Mittag-Leffler …

Fractional order quaternion‐valued neural networks are a type of fractional order neural
networks for which neuron state, synaptic connection strengths, and neuron activation …

In this article, the problem of the global Mittag-Leffler synchronization is proposed for a sort
of discrete-time fractional-order neural networks (DFNNs) with delays. In the first place, a …

This paper explores the finite-time stability of fractional-order complex valued neural
networks with time delay. By employing Laplace transform and the properties of Mittag …

This paper addresses an adaptive fuzzy feedback controller design problem for finite-time
Mittag-Leffler synchronization (FTMLS) of fractional-order quaternion-valued reaction …

In this article, without decomposing the quaternion-valued neural networks (QVNNs) into two
complex-valued subsystems or four real-valued subsystems, quasi-projective …

This paper is dedicated to investigate the quasi-estimation and quasi-synchronization
control of the fractional-order fuzzy memristive neural networks. By starting from the …

In this paper, we study the problem of passivity analysis of fractional-order neural networks
(FONNs) with a time-varying delay. By using the Razumikhin fractional-order theorem, we …

This paper investigates the quasi-synchronization problem of a heterogeneous dynamical
network. All nodes have fractional order dynamical behavior with time-varying delay. The …

Mittag-Leffler stabilization is studied for fractional reaction–diffusion cellular neural networks
(FRDCNNs) in this paper. Different from previous literature, the FRDCNNs in this paper are …