Advanced Model Optimization and Data Fusion Methods in Aircraft
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 6249
Special Issue Editors
Interests: aircraft design; aero-engine; optimization; flow control; computational fluid dynamics; prognostic and health management; artificial intelligence; data-driven model; digital twin
Special Issue Information
Dear Colleagues,
Advanced model optimization and data fusion methods play an increasingly important role in aircraft applications. Recent work has demonstrated the effectiveness of advanced models in the analysis, prediction, and optimization design of aircraft. The present Special Issue, titled “Advanced Model Optimization and Data Fusion Methods in Aircraft”, focuses on topics related to the application of machine learning, deep learning, data fusion methods, and other emerging data-driven techniques to support and improve the development of aircraft applications. Authors are invited to submit full research articles or review manuscripts addressing (but not limited to) the following topics:
- Application of advanced model in aircraft shape optimization;
- Application of advanced model in flow mechanism analysis;
- Big data, machine learning, and data mining in aircraft applications;
- Application of data-driven model in numerical simulation and performance prediction;
- Digital twin method in aircraft applications;
- Intelligent flow control;
- Application of data fusion methods in aerodynamic analysis;
- Application of advanced model in prognostic and health management.
The focal topics listed above are not meant to exclude articles from additional related areas. We are looking forward to receiving your submissions and invite you to contact the Guest Editor should you have further questions.
Prof. Dr. Gang Sun
Dr. Liyue Wang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- advanced model
- optimization
- aircraft
- aircraft design
- data-driven method
- data fusion
- digital twin
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