Ghent University Academic Bibliography

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Comparative study of sample based model predictive control with application to autonomous racing

Thomas Neve (UGent) , Tom Lefebvre (UGent) and Guillaume Crevecoeur (UGent)

(2022) 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). In IEEE ASME International Conference on Advanced Intelligent Mechatronics p.1632-1638
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Entropy regularised deterministic optimal control : from path integral solution to sample-based trajectory optimisation

Tom Lefebvre (UGent) and Guillaume Crevecoeur (UGent)

(2022) 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). In IEEE ASME International Conference on Advanced Intelligent Mechatronics p.401-408
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- Conference Paper
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Preventing catastrophic forgetting using prior transfer in physics informed Bayesian neural networks

Cedric Van Heck (UGent) , Annelies Coene (UGent) and Guillaume Crevecoeur (UGent)

(2022) 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). In IEEE ASME International Conference on Advanced Intelligent Mechatronics p.650-657
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Comparative study of co-design strategies for mission-specific design of quadcopters using differential flatness and Bayesian optimization

Jolan Wauters (UGent) , Tom Lefebvre (UGent) and Guillaume Crevecoeur (UGent)

(2022) 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). p.703-709
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Efficient ODE substructure identification of the acrobot under partial observability using neural networks and direct multiple shooting

Victor Vantilborgh (UGent) , Tom Lefebvre (UGent) and Guillaume Crevecoeur (UGent)

(2022) 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). p.1263-1268

Academic Bibliography

Comparative study of sample based model predictive control with application to autonomous racing

Entropy regularised deterministic optimal control : from path integral solution to sample-based trajectory optimisation

Preventing catastrophic forgetting using prior transfer in physics informed Bayesian neural networks

Comparative study of co-design strategies for mission-specific design of quadcopters using differential flatness and Bayesian optimization

Efficient ODE substructure identification of the acrobot under partial observability using neural networks and direct multiple shooting

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