| 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 | 68 | 2021 |
| 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 | 30 | 2019 |
| Performance guarantees for model-based Approximate Dynamic Programming in continuous spaces PN Beuchat, A Georghiou, J Lygeros arXiv preprint arXiv:1602.07273, 2016 | 30* | 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 | 19 | 2019 |
| 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 | 19 | 2017 |
| 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 | 12 | 2016 |
| A teaching system for hands-on quadcopter control PN Beuchat, YR Stürz, J Lygeros IFAC-PapersOnLine 52 (9), 36-41, 2019 | 10 | 2019 |
| N-rotor vehicles: modelling, control, and estimation PN Beuchat Automatic Control Laboratory (IfA), ETH Zurich, 2019 | 7 | 2019 |
| 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 | 7 | 2017 |
| Alleviating tuning sensitivity in approximate dynamic programming P Beuchat, A Georghiou, J Lygeros 2016 European Control Conference (ECC), 1616-1622, 2016 | 7 | 2016 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 4 | 2018 |
| Approximate dynamic programming via penalty functions PN Beuchat, J Lygeros IFAC-PapersOnLine 50 (1), 11814-11821, 2017 | 4 | 2017 |
| Evaluating outcomes in two engineering'clinic'subjects GJ Bradford, PN Beuchat, G Buskes REES AAEE 2021 conference: Engineering Education Research Capability …, 2021 | 2 | 2021 |
| Data-Enabled Predictive Control for Quadcopters–Data E Elokda, J Coulson, PN Beuchat, J Lygeros, F Dörfler ETH Zurich, 2021 | 1 | 2021 |
| Hands-on Quadcopter Education at all Levels PN Beuchat, J Coulson, J Lygeros 1st Virtual IFAC World Congress (IFAC-V 2020), 2020 | 1 | 2020 |
| 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 |
| Approximate Dynamic Programming: theoretical guarantees and practical algorithms for a continuous space setting PN Beuchat ETH Zurich, 2019 | | 2019 |
