Continuous/Discrete-Time Fractional Systems: Modelling, Design and Estimation, 2nd Edition

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".

Deadline for manuscript submissions: 15 September 2026 | Viewed by 1321

Special Issue Editors


E-Mail Website
Guest Editor
Academia de Matemática, Universidad Autónoma de la Ciudad de México, Ciudad de México 09790, Mexico
Interests: operational calculus; fractional calculus; fractional systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

In the last thirty years, Fractional Calculus has become an integral part of all scientific fields. Although not all the formulations are suitable for being used in applications, several tools constitute true generalizations of classic operators and are suitable for describing real phenomena. In fact, many systems can be classified as either shift-invariant or scale-invariant, and have fractional characteristics in either time or frequency/scale. This means that some of the known fractional operators, namely those described by ARMA-type equations, are very useful in many areas, such as diffusion, viscoelasticity, fluid mechanics, bioengineering, dynamics of mechanical, electronic, and biological systems, signal processing, control, and economics.

The focus of this Special Issue is to continue to advance research on topics such as modeling, design, and estimation relating to fractional order systems. Manuscripts addressing novel theoretical issues, as well as those on more specific applications, are welcome.

Potential topics include, but are not limited to, the following:

  • Fractional order systems modeling and identification;
  • Shift-invariant fractional ARMA linear systems, continuous-time, and discrete-time;
  • System analysis and design;
  • Scale invariant systems;
  • Fractional differential or difference equations;
  • Mathematical and numerical methods with emphasis on fractional order systems;
  • Fractional Gaussian noise, fractional Brownian motion, and other stochastic processes;
  • Applications.

Prof. Dr. Gabriel Bengochea
Dr. Manuel Duarte Ortigueira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fractal and Fractional is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • autoregressive-moving average (ARMA)
  • shift-invariant
  • scale-invariant
  • fBm
  • Liouville
  • Liouville–Caputo
  • Hadamard
  • Riemann–Liouville
  • Dzherbashian–Caputo
  • Grunwald–Letnikov
  • two-sided Riesz–Feller derivatives

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Editorial

Jump to: Research

3 pages, 156 KB  
Editorial
Editorial for Special Issue “Continuous/Discrete-Time Fractional Systems: Modelling, Design and Estimation”
by Gabriel Bengochea and Manuel Duarte Ortigueira
Fractal Fract. 2025, 9(11), 736; https://doi.org/10.3390/fractalfract9110736 - 14 Nov 2025
Viewed by 662
Abstract
The notion of a system is very old [...] Full article

Research

Jump to: Editorial

24 pages, 824 KB  
Article
Sentiment Dynamics in Signed Social Networks as a Diffusion Process
by Zhenpeng Li, Zhihua Yan and Xijin Tang
Fractal Fract. 2026, 10(5), 278; https://doi.org/10.3390/fractalfract10050278 - 22 Apr 2026
Viewed by 259
Abstract
Understanding how sentiment propagates in signed networks is crucial for uncovering mechanisms behind opinion polarization, trust formation, and information cocoons in digital communities. This paper investigates the generation of signed edges, representing positive or negative sentiments, in online social networks. We propose an [...] Read more.
Understanding how sentiment propagates in signed networks is crucial for uncovering mechanisms behind opinion polarization, trust formation, and information cocoons in digital communities. This paper investigates the generation of signed edges, representing positive or negative sentiments, in online social networks. We propose an analytical framework that models the dynamic growth of sentiment as a diffusion process. By introducing a walker on an infinite one-dimensional lattice, we derive a time-fractional diffusion equation that captures subdiffusive, normal diffusive, and superdiffusive behaviors. The model is empirically validated using two large-scale temporal signed networks: RedditHyperlinks and Bitcoin OTC. Our findings reveal that sentiment diffusion exhibits distinct regimes depending on the stage of network evolution, providing a foundation for further theoretical analysis and applications in signed social networks. Full article
Show Figures

Figure 1

Back to TopTop