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Paul N. Beuchat
Paul N. Beuchat
Bestätigte E-Mail-Adresse bei unimelb.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Data‐enabled predictive control for quadcopters
E Elokda, J Coulson, PN Beuchat, J Lygeros, F Dörfler
International Journal of Robust and Nonlinear Control 31 (18), 8916-8936, 2021
732021
Enabling optimization-based localization for IoT devices
PN Beuchat, H Hesse, A Domahidi, J Lygeros
IEEE Internet of Things Journal 6 (3), 5639-5650, 2019
312019
Performance guarantees for model-based Approximate Dynamic Programming in continuous spaces
PN Beuchat, A Georghiou, J Lygeros
arXiv preprint arXiv:1602.07273, 2016
31*2016
Generalized dual dynamic programming for infinite horizon problems in continuous state and action spaces
J Warrington, PN Beuchat, J Lygeros
IEEE Transactions on Automatic Control 64 (12), 5012-5023, 2019
192019
The REPOP toolbox: Tackling polynomial optimization using relative entropy relaxations
O Karaca, G Darivianakis, P Beuchat, A Georghiou, J Lygeros
IFAC-PapersOnLine 50 (1), 11652-11657, 2017
192017
Performance bounds for look-ahead power system dispatch using generalized multistage policies
PN Beuchat, J Warrington, TH Summers, M Morari
IEEE Transactions on Power Systems 31 (1), 474-484, 2016
122016
A teaching system for hands-on quadcopter control
PN Beuchat, YR Stürz, J Lygeros
IFAC-PapersOnLine 52 (9), 36-41, 2019
102019
N-rotor vehicles: modelling, control, and estimation
PN Beuchat
Automatic Control Laboratory (IfA), ETH Zurich, 2019
72019
Point-wise maximum approach to approximate dynamic programming
PN Beuchat, J Warrington, J Lygeros
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 3694-3701, 2017
72017
Alleviating tuning sensitivity in approximate dynamic programming
P Beuchat, A Georghiou, J Lygeros
2016 European Control Conference (ECC), 1616-1622, 2016
72016
Accelerated point-wise maximum approach to approximate dynamic programming
PN Beuchat, J Warrington, J Lygeros
IEEE Transactions on Automatic Control 67 (1), 251-266, 2021
62021
Challenges and opportunities of using differential-drive robots with project-based learning pedagogies
PN Beuchat, GJ Bradford, G Buskes
IFAC-PapersOnLine 55 (17), 186-193, 2022
52022
Nonlinear control of quadcopters via approximate dynamic programming
A Romero, PN Beuchat, YR Stürz, RS Smith, J Lygeros
2019 18th European Control Conference (ECC), 3752-3759, 2019
42019
Optimization based self-localization for IoT wireless sensor networks
P Beuchat, H Hesse, A Domahidi, J Lygeros
2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 712-717, 2018
42018
Approximate dynamic programming via penalty functions
PN Beuchat, J Lygeros
IFAC-PapersOnLine 50 (1), 11814-11821, 2017
42017
Evaluating outcomes in two engineering'clinic'subjects
GJ Bradford, PN Beuchat, G Buskes
REES AAEE 2021 conference: Engineering Education Research Capability …, 2021
22021
Data-Enabled Predictive Control for Quadcopters–Data
E Elokda, J Coulson, PN Beuchat, J Lygeros, F Dörfler
ETH Zurich, 2021
12021
Hands-on Quadcopter Education at all Levels
PN Beuchat, J Coulson, J Lygeros
1st Virtual IFAC World Congress (IFAC-V 2020), 2020
12020
Considerations for software-defined radio use within a project-based learning subject
GJ Bradford, G Buskes, PN Beuchat
2023 ASEE Annual Conference & Exposition, 2023
2023
Discipline-wide study of threshold concepts and capabilities
PN Beuchat, GJ Bradford, G Buskes
33rd Australasian Association for Engineering Education Conference (AAEE …, 2022
2022
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