Model Predictive control for neural network surrogate aircraft dynamics.
Information on data acquisition and processing can be found here
Information on the models used to model the system dynamics can be found here
Post on how to remove jupyter notebook output from git commits.
AerodynamicShapeOp
install with pip install -e .
rpg_time_optimal/src/quad.py at main · uzh-rpg/rpg_time_optimal
https://arxiv.org/pdf/2207.03424
IEEE Xplore Full-Text PDF: Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles - ScienceDirect
https://openreview.net/pdf?id=Zp8YmiQ_bDC
Physics-informed neural networks (PINNs) for fluid mechanics: a review | Acta Mechanica Sinica
Machine learning in aerodynamic shape optimization - ScienceDirect
Simulation — AirfRANS documentation
Learning aerodynamics with neural network | Scientific Reports
https://hal.science/hal-01515765v1/document
https://academic.udayton.edu/MarkusRumpfkeil/Documents/ICCFD9.pdf
Installation — GPflow 2.9.0 documentation
CasADi - Blog - Tensorflow and CasADi
dynamic_optimization_inventory/list.csv at main · meco-group/dynamic_optimization_inventory
Polynomial and Spline interpolation — scikit-learn 1.5.2 documentation
Tim-Salzmann/l4casadi: Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab
Axes Transformations — Aircraft Flight Mechanics by Harry Smith, PhD
https://core.ac.uk/download/pdf/36720009.pdf
https://rpg.ifi.uzh.ch/docs/ScienceRobotics21_Foehn.pdf
liecasadi/examples/manifold_optimization.py at main · ami-iit/liecasadi