Recent Advances in Fractional-Order Time Delay Systems
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1622
Special Issue Editors
Interests: fractional-order neural networks; fractional-order complex networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The theory of fractional-order calculus has been successfully applied to various fields, and it can describe some non-classical phenomena in natural science and engineering. Fractional-order models are a powerful tool for advancing scientific research in these fields. Time delays often appear in the states, the control inputs, or the measurements in many real systems. The existence of time delays often leads to undesirable dynamic behaviors, or even destroys the stability. Therefore, we hope that researchers will discuss various applications of fractional-order time delay systems and thereby inspire readers in this Special Issue.
The purpose of this Special Issue is mainly to gather some up-to-date research results on recent advances in the theory and application of stability analysis and stabilization of fractional-order time delay systems. We invite the authors to submit original research articles and high-quality review articles in fractional order time delay systems obtained from the development, analysis, and simulation of mathematical models.
The focus of this Special Issue is to continue to advance research on topics relating to the theory, design, implementation, and application of fractional-order time delay systems. Topics that are invited for submission include (but are not limited to):
- Explicit solution of the discrete-time fractional-order time delay systems;
- Explicit solution of the continuous-time fractional-order time delay systems;
- Modeling and application of fractional-order model with time delays;
- Stability and synchronization of fractional-order complex networks with time delays;
- Stability and synchronization of fractional-order neural networks with time delays.
Dr. Feifei Du
Dr. Zeyu Liu
Guest Editors
Manuscript Submission Information
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Keywords
- fractional-order systems
- complex networks
- neural networks
- time delay
- stability
- synchronization
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