[HTML][HTML] Artificial neural networks: a practical review of applications involving fractional calculus
E Viera-Martin, JF Gómez-Aguilar… - The European Physical …, 2022 - Springer
In this work, a bibliographic analysis on artificial neural networks (ANNs) using fractional
calculus (FC) theory has been developed to summarize the main features and applications …
calculus (FC) theory has been developed to summarize the main features and applications …
Bifurcations in a fractional-order BAM neural network with four different delays
This paper illuminates the issue of bifurcations for a fractional-order bidirectional associative
memory neural network (FOBAMNN) with four different delays. On account of the affirmatory …
memory neural network (FOBAMNN) with four different delays. On account of the affirmatory …
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks
This paper analyzes the stability and passivity problems for a class of memristor-based
fractional-order competitive neural networks (MBFOCNNs) by using Caputo's fractional …
fractional-order competitive neural networks (MBFOCNNs) by using Caputo's fractional …
Intermittent control for finite-time synchronization of fractional-order complex networks
This paper is concerned with the finite-time synchronization problem for fractional-order
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …
Event-based reachable set synthesis for delayed nonlinear semi-Markov systems
Z Shen, L Zhang, B Niu, N Zhao - Chaos, Solitons & Fractals, 2023 - Elsevier
In this study, the issue of the reachable set (RS) synthesis for delayed nonlinear semi-
Markov jump systems (s-MJSs) is addressed. An asynchronous controller whose controller …
Markov jump systems (s-MJSs) is addressed. An asynchronous controller whose controller …
[HTML][HTML] Comparative exploration on bifurcation behavior for integer-order and fractional-order delayed BAM neural networks
C Xu, D Mu, Z Liu, Y Pang, M Liao, P Li… - … Analysis: Modelling and …, 2022 - redalyc.org
Abstract. In the present study, we deal with the stability and the onset of Hopf bifurcation of
twotype delayed BAM neural networks (integer-order case and fractional-order case). By …
twotype delayed BAM neural networks (integer-order case and fractional-order case). By …
Impulsive synchronization of unbounded delayed inertial neural networks with actuator saturation and sampled-data control and its application to image encryption
H Li, C Li, D Ouyang, SK Nguang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The article considers the impulsive synchronization for inertial neural networks with
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …
Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization
This article studies the adaptive backstepping control problem for a class of fractional-order
(FO) nonlinear systems subject to input quantization and unknown control directions by …
(FO) nonlinear systems subject to input quantization and unknown control directions by …
Impulsive effects on bipartite quasi synchronization of extended Caputo fractional order coupled networks
L Zhang, Y Yang - Journal of the Franklin Institute, 2020 - Elsevier
This paper is considered with a bipartite quasi synchronization of a fractional order signed
network consisting of a group of antagonistic coupled neural networks. The objective is to …
network consisting of a group of antagonistic coupled neural networks. The objective is to …
Fixed-time synchronization for complex-valued BAM neural networks with time-varying delays via pinning control and adaptive pinning control
The paper mainly studies the fixed-time synchronization of complex-valued BAM neural
networks with time-varying delays via pinning control and adaptive pinning control. Firstly …
networks with time-varying delays via pinning control and adaptive pinning control. Firstly …