Leparoux, Clara Hérissé, Bruno Jean, Frédéric
The motion planning of powered descent problems has often been treated in the deterministic optimal control framework, which provides efficient theoretical and numerical tools. However, future applications require robustness, usually obtained by introducing stochastic components in the dynamics to model uncertainties. After stating the robust motio...
Becanovic, Filip Bonnet, Vincent Dumas, Raphaël Jovanovic, Kosta Mohammed, Samer
Human gait patterns have been intensively studied, both from medical and engineering perspectives, to understand and compensate pathologies. However, the muscle-force sharing problem is still debated as acquiring individual muscle force measurements is challenging, requiring the use of invasive devices.Recent studies, using various objective functi...
Edorh, Prince Hérissé, Bruno Bourgeois, Eric
The development of future launchers leads CNES and ONERA to be interested in concepts of winged vehicles with horizontal landing. From the experience acquired on the vertical takeoff vertical landing (VTVL) concept, a glide back recovery concept is studied in this paper using a similar control approach. It involves a guidance algorithm which relies...
Naldini, Federico Pellegrini, Paola Rodriguez, Joaquin
GECCO 2021, Genetic and Evolutionary Computation Conference Companion, Lille , FRANCE, 10-/07/2021 - 14/07/2021
Brevault, Loic Balesdent, Mathieu
The early design phase of launch vehicles often involves low fidelity models that are characterized by a high level of modeling uncertainties. These uncertainties have to be propagated into the whole design process in order to ensure the robustness of the found vehicle architecture. Launch vehicle design involves trajectory optimization that induce...
Zhang, Qinghua
Dynamic system fault diagnosis is often faced with a large number of possible faults. The purpose of this paper is to propose an efficient method for such situations. To avoid intractable combinatorial problems, sparse estimation techniques appear to be a powerful tool for isolating faults, under the assumption that only a small number of possible ...
Kamenga, Franck Pellegrini, Paola Rodriguez, Joaquin Merabet, Boubekeur
This paper proposes different algorithms to tackle the Generalized Train Unit Shunting Problem (G-TUSP). This is the pre-operational problem of managing rolling stock in a station, between arrivals and departures. It includes four sub-problems: the Train Matching Problem, the Track Assignment Problem, the Shunting Routing Problem, and the Shunting ...
NALDINI, Federico PELLEGRINI, Paola RODRIGUEZ, Joaquin
Traffic perturbations in railway systems may give rise to conflicts, which cause delays w.r.t. the timetable. Dealing with them requires solving the real-time Rail Traffic Management Problem (rtRTMP). A subproblem of the rtRTMP is the real-time Energy Consumption Minimization Problem (rtECMP). It defines the speed profiles along with the timing of ...
KAMENGA, Franck PELLEGRINI, Paola RODRIGUEZ, Joaquin MERABET, Boubekeur
This paper proposes different algorithms to tackle the Generalized Train Unit Shunting Problem (G-TUSP). This is the pre-operational problem of managing rolling stock in a station, between arrivals and departures. It includes four sub-problems: the Train Matching Problem, the Track Assignment Problem, the Shunting Routing Problem, and the Shunting ...
Kamenga, Franck
Railway stations that concentrate starts and ends of train journeys structure most of the passenger lines operations. Indeed, rolling stock preparation operations (cleaning, trains coupling...) which are called shunting are scheduled there. These operations are essential to ensure service quality. These operations require train movement and parking...
