Mathematical Modelling and Control Theory for Aerospace Vehicles
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 March 2026 | Viewed by 756
Special Issue Editor
Special Issue Information
Dear Colleagues,
We invite you to submit your latest applied research works in mathematical modelling and control theory for aerospace vehicles to this Special Issue, titled "Mathematical Modelling and Control Theory for Aerospace Vehicles".
Mathematical modelling provides effective theoretical support for aerodynamics, for the guidance and control of aerospace vehicles, and for the development of more advanced and intelligent mathematical modelling and control techniques for aerospace vehicles, which has become a significant research focus in recent years.
This Special Issue focuses on the mathematical modelling of complex dynamics problems, understanding flow control and complex flow phenomena, and the development and application of advanced and effective guidance and control methods. We welcome the submission of scientific articles on advanced and effective guidance and control methods that solve the problems associated with the following: trajectory optimization for aerospace vehicles, active flow control technology for high-speed vehicles, online planning and intelligent planning with high computational efficiency, advanced intermediate guidance theoretical methods, terminal guidance theoretical methods, intercept guidance and pursuit and escape guidance, nonlinear control, robust control, mathematical modelling of complex dynamics models, and so on. For this Special Issue, we encourage you to publish your most recent research works in the above fields and the results of simulation analyses and practical engineering.
Yours Sincerely,
Dr. Zhongtao Cheng
Guest Editor
Manuscript Submission Information
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Keywords
- trajectory optimization
- active flow control
- online planning and intelligent planning
- intermediate guidance
- pursuit and escape guidance
- nonlinear control and robust control
- complex dynamics models
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