Risk minimization in life-cycle oil production optimization

Autor: Capolei, Andrea, Christiansen, Lasse Hjuler, Jørgensen, John Bagterp

The geology of oil reservoirs is largely unknown. Consequently, the reservoir models used for production optimization are subject to significant uncertainty. To minimize the associated risk, the oil literature has mainly used ensemble-based methods t

Externí odkaz: http://arxiv.org/abs/1801.00684

Offset Risk Minimization for Open-loop Optimal Control of Oil Reservoirs

Autor: Capolei, A. ^*, Christiansen, L.H. ^*, Jørgensen, J.B. ^*

Publikováno v: In IFAC PapersOnLine July 2017 50(1):10620-10625

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion

Autor: Elisa Massi, Lorenzo Vannucci, Ugo Albanese, Marie Claire Capolei, Alexander Vandesompele, Gabriel Urbain, Angelo Maria Sabatini, Joni Dambre, Cecilia Laschi, Silvia Tolu, Egidio Falotico

Publikováno v: Frontiers in Neurorobotics, Vol 13 (2019)

In traditional robotics, model-based controllers are usually needed in order to bring a robotic plant to the next desired state, but they present critical issues when the dimensionality of the control problem increases and disturbances from the exter

Externí odkaz: https://doaj.org/article/4d09fd6ab12a4881ad70f4395ce1049c

Oil Reservoir Production Optimization using Single Shooting and ESDIRK Methods

Autor: Capolei, Andrea, Völcker, Carsten, Frydendall, Jan, Bagterp Jørgensen, John

Publikováno v: In IFAC Proceedings Volumes 2012 45(8):286-291

A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation of a Humanoid Robot Acting in a Dynamic Environment

Autor: Nils Andersen, Marie Claire Capolei, Egidio Falotico, Silvia Tolu, Henrik Hautop Lund

Publikováno v: Capolei, M C, Andersen, N A, Lund, H H, Falotico, E & Tolu, S 2020, ' A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation of a Humanoid Robot Acting in a Dynamic Environment ', IEEE Robotics and Automation Letters, vol. 5, no. 1, pp. 80-87 . https://doi.org/10.1109/LRA.2019.2943818
IEEE Robotics and Automation Letters

Humanoid robots are often supposed to operate in non-deterministic human environments, and as a consequence, the robust and gentle rejection of the external perturbations is extremely crucial. In this scenario, stable and accurate behavior is mostly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fceef311990c5bab6b4c32482c1f90eb
https://orbit.dtu.dk/en/publications/5f23144f-fb1d-4282-9bb9-03e4171a9342