On the minimum time optimal control problem of an aircraft in its climbing phase
Texte intégral
Figure
Documents relatifs
In [4], Ng extended Jardin’s work and developed a trajectory optimization algorithm for minimizing aircraft travel time and fuel burn by combining a method for computing
Specimens (swab samples [swab], punch biopsy tissue specimens [tissue-punch], and surgically excised tissue specimens [tissue-surgery]) obtained from 384 patients with suspected
We give in this section some preliminary results on the structures of the trajectories for two different problems: α = 1 (minimum time problem) and α = 0.6 , for a medium-haul
First, we introduce a reduced-order problem with affine dynamics with respect to the control and analyze it with the tools from geometric control: maximum principle combined with
The situation is analogous to the one in Riemannian geometry with cut and conjugate points: Up to some point, the path provides minimizers; then global optimality is lost
Furthermore, since the anesthesia model presents multiple time scale dynamics that can be split in two groups : fast and slow and since the BIS is a direct function of the fast ones,
Generating optimal aircraft trajectories with respect to weather conditions?. Brunilde Girardet, Laurent Lapasset,
L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des