FDA Express Vol. 55, No. 1
FDA Express Vol. 55, No. 1, Apr. 30, 2025
All issues: http://jsstam.org.cn/fda/
Editors: http://jsstam.org.cn/fda/Editors.htm
Institute of Soft Matter Mechanics, Hohai University
For contribution: xybxyb@hhu.edu.cn, fda@hhu.edu.cn
For subscription: http://jsstam.org.cn/fda/subscription.htm
PDF download: http://em.hhu.edu.cn/fda/Issues/FDA_Express_Vol 55_No 1_2025.pdf
◆ Latest SCI Journal Papers on FDA
◆ Call for Papers
Recent Advances in Fractional-Order Neural Networks: Theory and Application, 2nd Edition
Fractional Order Systems Modelling and Control
◆ Books
Modeling of Discrete and Continuous Systems
◆ Journals
Fractional Calculus and Applied Analysis
◆ Paper Highlight
Neuromorphic dynamics and behavior synchronization of fractional-order memristive synapses
◆ Websites of Interest
Fractal Derivative and Operators and Their Applications
Fractional Calculus & Applied Analysis
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Latest SCI Journal Papers on FDA
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Sabir, S; Ahmad, A; etc.
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING Volume:71 Published: Apr 2025
Fractional mean field equations: Theory and application on finite graphs
Liu, Y
JOURNAL OF DIFFERENTIAL EQUATIONS Volume:436 Published: Aug 2025
Kirchner, K and Willems, J
STOCHASTIC PROCESSES AND THEIR APPLICATIONS Volume:186 Published: Aug 2025
Fractional derivatives in advection-dispersion equations: A comparative study
Pandey, AK
JOURNAL OF HYDROLOGY Volume:657 Published: Aug 2025
Zhu, Y; Li, KH; etc.
CHAOS SOLITONS & FRACTALS Volume:196 Published: Jul 2025
KLong, LD; Moghaddam, BP and Gurefe, Y
COMPUTATIONAL & APPLIED MATHEMATICS Volume: 44 Published: Jul 2025
Shams, M and Carpentieri, B
ALEXANDRIA ENGINEERING JOURNAL Volume: 124 Published: Jun 2025
Liu, XL; Ye, GJ and Liu, W
FUZZY SETS AND SYSTEMS Volume: 509 Published: Jun 2025
Constraint minimizers of mass critical fractional Kirchhoff equations: concentration and uniqueness
Liu, LT; Radulescu, VD and Yuan, S
NONLINEARITY Volume: 38 Published: Apr 2025
Sahu, I and Jena, SR
JOURNAL OF SUPERCOMPUTING Volume:81 Published: Apr 2025
Shams, Mudassir and Alalyani, Ahmad
Scientific reports Volume: 15 Published: Apr 2025
Mahmood, SS and Murad, MAS
MODERN PHYSICS LETTERS B Published: Apr 2025 (Early Access)
Wang, PP; Feng, XF and He, SQ
INTERNATIONAL JOURNAL OF GEOMETRIC METHODS IN MODERN PHYSICS Published: Apr 2025 (Early Access)
Studies on Fractional Differential Equations With Functional Boundary Condition by Inverse Operators
Li, CK
MATHEMATICAL METHODS IN THE APPLIED SCIENCES Published: Apr 2025 (Early Access)
Stability analysis of hybrid langevin equation via two fractional operators
Almaghamsi, L
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY Published: Apr 2025 (Early Access)
Agarwal, RP; Hristova, S and O'Regan, D
BOUNDARY VALUE PROBLEMS Volume: 2025(1) Published: Apr 2025
Telksniene, I; Navickas, Z; etc.
MATHEMATICS Volume: 13 Published: Apr 2025
Wang, Jiawei; Liu, Yanqin; etc.
Chaos (Woodbury, N.Y.) Volume: 61 Published: Apr 2025
A deep learning framework for solving fractional partial differential equations
Ali, A; Senu, N; etc.
PHYSICA SCRIPTA Volume: 100 Published: Apr 2025
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Call for Papers
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Recent Advances in Fractional-Order Neural Networks: Theory and Application, 2nd Edition
( A special issue of Fractal and Fractional )
Dear Colleagues,
The field of fractional-order neural networks refers to research that incorporates the concepts of fractional calculus into the related theory and application of neural networks. It is introduced to accurately describe the physical process and system state with heredity and memorability. With the in-depth study of fractional-order neural network models and dynamics analysis (e.g., stability, synchronization, bifurcation, etc.), more control methods and control techniques are applied to these systems, which will enrich the theoretical system of fractional-order neural networks. Additionally, fractional-order neural networks have infinite memory properties, which can further improve the design, characterization, and control capabilities of network models for many practical problems. These concepts have great application prospects and research value in biological nervous systems, circuit design and simulation, artificial intelligence, and other fields.
The focus of this Special Issue is to continue to advance research on topics relating to the theory, control, design, and application of fractional-order neural networks. Topics that are invited for submission include (but are not limited to):
- Fractional-order neural network model;
- Dynamic analysis and control of fractional-order neural networks;
- Circuit design and simulation of fractional-order neural networks;
- Applications of fractional-order neural networks for biology and biomedicine;
- Applications of fractional-order circuit models for artificial intelligence.
Keywords:
- Fractional calculus
- Dynamics analysis
- Biological nervous system
- Circuit design and simulation
- Artificial intelligence
Organizers:
Prof. Dr. Zhouchao Wei
Dr. Lulu Lu
Important Dates:
Deadline for conference receipts: 25 May 2025 | .
All details on this conference are now available at: https://www.mdpi.com/journal/fractalfract/special_issues/E8RI1S1F6M.
Fractional Order Systems Modelling and Control
( A special issue of International Journal of Dynamics and Control )
Many processes in physics, engineering, biology, economics, finance, and other areas, exhibit global behavior characterized by long-range correlations, memory effects, fractality, and power law dynamics. This behavior is well described by fractional calculus (FC), a mathematical tool that extends integrals and derivatives to non-integer orders. The FC, introduced by Leibniz, has evolved from a theoretical concept to a powerful method for modelling and controlling complex dynamical systems. The non-local, history-dependent, and frequency-dependent characteristics of fractional-order (FO) systems make them particularly valuable for capturing real-world behaviors that classical models struggle to handle.
This special issue (SI) aims to present the latest research on FO systems, with a particular focus on their theoretical foundations, modelling techniques, control, and practical applications. It will highlight the growing importance of FC in addressing challenges in various fields, such as complex dynamics, control, signal processing, fluid mechanics, and biological systems.
Topics of interest of the SI include, but are not limited to:
• Advances in FC and its computational methods;
• New applications of FO systems in science and engineering;
• Case studies of FO models in real-world systems;
• Fractional control systems;
• FO modelling in biological and ecological systems;
• Fractional models in economics, finance, and social sciences;
• Numerical and experimental validation of FO models;
• Fractional systems in the era of big data and machine learning
Organizers:
António M. Lopes
Behrouz Parsa Moghaddam
Important Dates:
Deadline for manuscript submissions: 30 Dec 2025 .
All details on this conference are now available at: https://link.springer.com/collections/hehbfeafih.
=========================================================================== Books ------------------------------------------
( Authors: Mohamed Kharrat, Nouressadat Touafek, Moez Krichen )
Details: https://doi.org/10.1007/978-981-97-8715-9 Book Description: This book contains a comprehensive collection of chapters on recent and original research, along with review articles, on mathematical modeling of dynamical systems described by various types of differential equations. Structured into 18 chapters dedicated to exploring different aspects of differential equations and their applications in modeling both discrete and continuous systems, it highlights theoretical advancements in mathematics and their practical applications in modeling dynamic systems. Readers will find contributions by renowned scholars who delve into the intricacies of nonlinear dynamics, stochastic processes, and partial differential equations. This book is an essential resource for researchers, academicians, and practitioners in the field of mathematical modeling.
Author Biography:
Department of Mathematics, Jouf University, Sakakah, Saudi Arabia
Department of Mathematics, University of Jijel, Jijel, Algeria
Department of Information Technology, Al-Baha University, Alaqiq, Saudi Arabia
Contents:
Front Matter
Fractional Differential Equations in Engineering and for Polyurethane Foam Modelling
A New Operator Approach for Solving Time-Fractional Nonlinear Burgess Equation
Explicit Form for the Solutions of a System of Difference Equations
Stochastic Integrodifferential Equations with Deviating Argument Driven by Poisson Jumps: Optimal Controls
A Review on Fractional Calculus in Modeling of Cancer
Conformable Fractional Taylor Series Algorithm for Solving Temporal Fractional Reaction–Diffusion–Convection Equation
Modified Some n-Point Fractional Formulae with Richardson Extrapolation
Analysis of Alzheimer’s Disease Using Nonlocal Operator
A Stable Relaxation Approach for Valuing European Options Across Diverse Time-Fractional Models
Certain Generalization of Appell’s Functions and Riemann–Liouville Fractional Derivative Operator and Their Applications
A Study of Integral Transforms Associated with Srivastava–Daoust Multivariable Hypergeometric Functions
A Measure Second-Order Maximal Monotone Differential Inclusion
Certain Integrals Involving Generalized Laguerre Polynomials and Bessel Function and Their Application
Nonlinear Dynamical Systems in a Nutshell
Sasaki Gradient Tensor and Para-Complex Structures
New Several Types of Difference Equations for Degenerate Quantum Bernoulli Polynomials Using (q, h)-Derivative
Optimal Control Problems Governed by a Class Nonlinear Dynamical System
======================================================================== Journals ------------------------------------------ (Selected) Xindong Zhang, Leilei Wei, Juan Liu Jianqing Chen, Qian Zhang Soobin Kwak, Yunjae Nam, etc. Dinh Nguyen Duy Hai Shuihong Xiao, Jianli Li Huifang Yuan, Zhiyuan Hui Yueyuan Zhong Yun Zhang, Xiaoli Feng Haoyuan Gong, Tongtong Zhou, etc. Shuyu Li, Hong Wang, Jinhong Jia R. Katani, S. McKee Anbiao Zeng, Guangze Gu Zhihao Sheng, Yang Liu, Yonghai Li Xiaohua Jing, Junxiong Jia, Xueli Song Chiara Sorgentone, Enza Pellegrino, Francesca Pitolli
Sign-changing solutions for a fractional Choquard system with strongly indefinite structure
Computational analysis of a normalized time-fractional Fisher equation
A class of higher-order time-splitting Monte Carlo method for fractional Allen–Cahn equation
Uniqueness of identifying multiple parameters in a time-fractional Cattaneo equation
Lattice Boltzmann method for surface quasi-geostrophic equations with fractional Laplacian
Local modification and analysis of a variable-order fractional wave equation
Infinitely many negative energy solutions for fractional Schrödinger–Poisson systems
A spline-based framework for solving the space–time fractional convection–diffusion problem
Fractional Calculus and Applied Analysis
(Volume 28, Issue 2)
Milan R. Rapaić, Zoran D. Jeličić, etc. Alexandru Fikl, Aman Jhinga, etc. Dingding Cao, Changpin Li
Revisiting distributed order PID controller
Simulating neuronal dynamics in fractional adaptive exponential integrate-and-fire models
Analysis and computation for quenching solution to the time-space fractional Kawarada problem
Mohammed Al-Refai, Yuri Luchko
Cyrille Kenne, Gisèle Mophou, Mahamadi Warma Jaromír Kukal, Michal Beneš Yi Wang, Lixin Tian Baowei Feng, Mirelson M. Freitas, etc. Francisco J. S. A. Corrêa, César E. T. Ledesma, Alânnio B. Nóbrega Miao Yang, LiZhen Wang, LuSheng Wang Fang Li, Huiwen Wang Huihui Yang, He Yang Vaibhav Mehandiratta, Mani Mehra Yunshui Liang, LuChuan Ceng, Shengda Zeng Anjapuli Panneer Selvam, Venkatesan Govindaraj Marko Kostić Zhiyong Wang, Pengtao Li, Yu Liu Nguyen Minh Dien Sekhar Ghosh, Debajyoti Choudhuri, Alessio Fiscella Md. Samshad Hussain Ansari, Muslim Malik ======================================================================== Paper Highlight Neural network approximation of the composition of fractional operators and its application to the fractional Euler-Bernoulli beam equation Anna Nowak, Dominika Kustal, HongGuang Sun, Tomasz Blaszczyk
Simple difference schemes for multidimensional fractional Laplacian and fractional gradient
Pullback dynamics of 2D non-autonomous Reissner-Mindlin-Timoshenko plate systems
On positive solutions of fractional elliptic equations with oscillating nonlinearity
Cauchy problem for time-space fractional incompressible Navier-Stokes equations in R^n
ψ-Hilfer type linear fractional differential equations with variable coefficients
On fractional differential inclusion with damping driven by variational-hemivariational inequality
Abstract multi-term fractional difference equations
On a uniqueness criterion for nonlinear fractional differential equations
Publication information: Applied Mathematics and Computation, Volume 501, 15 September 2025.
https://doi.org/10.1016/j.amc.2025.129475
Abstract In this paper, we propose a new approach to approximation of the left and the right fractional Riemann - Liouville integrals as well as the compositions of these two operators, based on a shallow neural network with ReLU as an activation function. We apply the proposed method to the fractional Euler - Bernoulli beam equation with fixed-supported and fixed-free ends, and we provide numerical simulations for constant, power and trigonometric functions. Finally, we compare the obtained results with the exact solutions of the considered problems. Key Points Neural networks, Fractional Euler-Bernoulli equation, Fractional operators ------------------------------------- Yukaichen Yang, Xiang Xu, Gangquan Si, Minglin Xu, Chenhao Li, Ruicheng Xie
Neuromorphic dynamics and behavior synchronization of fractional-order memristive synapses
Publication information: Chaos, Solitons and Fractals, Volume 197, 26 April 2025.
https://doi.org/10.1016/j.chaos.2025.116469
Abstract Neuromorphic computing has garnered significant attention for its ability to emulate biological neural networks, yet challenges remain in simulating the behavioral dynamics and constructing the structural frameworks of neural synapses. This paper examines the neuromorphic dynamics and synchronization of fractional-order memristive systems, highlighting their potential as artificial synapses in neuromorphic computing. A 3-D fractional-order circuit was developed based on mathematical modeling of locally active memristors, revealing diverse neurodynamic behaviors, including action potentials, oscillations, and spike bursting, under varying fractional-order indices and parameters. The fractional-order boundaries for neuromorphic behaviors were discussed, and dynamic variations across different initial conditions were analyzed. A fractional-order finite-time synchronization controller was designed to achieve effective behavioral synchronization between independent memristive synapses. These findings offer valuable insights into the dynamic complexity of fractional-order systems, paving the way for their application in the design of neuromorphic systems and artificial neural networks. Highlights • Investigated neuromorphic dynamics in fractional-order locally active memristors ========================================================================== The End of This Issue ∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽∽
• Constructs a 3-D fractional-order memristive circuit emulating synaptic behaviors.
• Identifies relationships between neuromorphic dynamics and system parameters.
• Accomplished behavioral synchronization of fractional-order memristive synapses.
• Integrates fractional-order dynamics with neuromorphic computing applications.
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