Modeling, Optimization, and Control of Fractional-Order Neural Networks and Nonlinear Systems, Second Edition
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: 17 October 2026 | Viewed by 6
Special Issue Editors
Interests: fractional-order systems; fractional-order neural networks; nonlinear systems; networked control systems; control theory and application of neural network
Special Issues, Collections and Topics in MDPI journals
Interests: fractional-order dynamic systems; multiagent systems; reinforcement learning; robot control
Special Issues, Collections and Topics in MDPI journals
Interests: fractional-order sliding mode control, information physical systems; DoS attacks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: fractional-order systems; industrial control systems; network control systems; cyber–physical systems; optimal control; network security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing application of fractional-order theory in the fields of neural networks and nonlinear systems, this Special Issue, titled “Modeling, Optimization, and Control of Fractional-Order Neural Networks and Nonlinear Systems, Second Edition”, aims to provide a platform for researchers to showcase their latest research findings, innovative methods and application cases in this field.
The purpose of launching this Special Issue is to bring together significant developments concerning the modeling, optimization and control of fractional-order neural networks and nonlinear systems, and facilitate research collaboration and the exchange of ideas surrounding this topic. Potential topics include, but are not limited to, the following:
- Modeling and analysis of fractional-order neural networks;
- Reinforcement learning control and optimization of fractional-order neural networks;
- Intelligent learning and adaptive control of fractional-order neural networks;
- Robust distributed control methods of nonlinear systems;
- Sampled-data and event-triggered intelligent control;
- Distributed intelligent control and optimization applications;
- Security control of networked control systems.
Prof. Dr. Kaibo Shi
Dr. Zhinan Peng
Prof. Dr. Xin Wang
Dr. Xiao Cai
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- fractional order neural networks
- nonlinear systems
- networked control systems
- modelling and analysis
- control and optimization
- intelligent learning
- multiagent systems
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.
