| LPV system identification under noise corrupted scheduling and output signal observations D Piga, P Cox, R Tóth, V Laurain Automatica 53, 329-338, 2015 | 56 | 2015 |
| Linear parameter-varying subspace identification: A unified framework PB Cox, R Tóth Automatica 123, 109296, 2021 | 49 | 2021 |
| Towards efficient identification of linear parameter-varying state-space models PB Cox Eindhoven University of Technology, 2018 | 33 | 2018 |
| Towards efficient maximum likelihood estimation of LPV-SS models PB Cox, R Tóth, M Petreczky Automatica 97, 392-403, 2018 | 31 | 2018 |
| LPVcore: MATLAB toolbox for LPV modelling, identification and control P den Boef, PB Cox, R Tóth IFAC-PapersOnLine 54 (7), 385-390, 2021 | 30 | 2021 |
| Affine parameter-dependent lyapunov functions for LPV systems with affine dependence PB Cox, S Weiland, R Tóth IEEE Transactions on Automatic Control, 2019 | 30 | 2019 |
| Predictionerror identification of LPV systems: a nonparametric gaussian regression approach R Darwish, M. A. H. and Cox, P. B. and Proimadis, I. and Pillonetto, G. and Tóth Automatica 97, 92-103, 2018 | 27 | 2018 |
| Bayesian identification of LPV Box-Jenkins models M Darwish, P Cox, G Pillonetto, R Tóth 2015 54th IEEE Conference on Decision and Control (CDC), 66-71, 2015 | 13 | 2015 |
| Estimation of LPV-SS models with static dependency using correlation analysis PB Cox, R Tóth, M Petreczky Proceedings of the 1st IFAC Workshop on Linear Parameter Varying Systems 48 …, 2015 | 11 | 2015 |
| LPV state-space identification via IO methods and efficient model order reduction in comparison with subspace methods E Schulz, PB Cox, R Toth, H Werner 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 3575-3581, 2017 | 10 | 2017 |
| CVA identification of nonlinear systems with LPV state-space models of affine dependence WE Larimore, PB Cox, R Tóth 2015 American Control Conference (ACC), 831-837, 2015 | 8 | 2015 |
| Alternative form of predictor based identification of LPV-SS models with innovation noise P Cox, R Tóth Decision and Control (CDC), 2016 IEEE 55th Conference on, 1223-1228, 2016 | 7 | 2016 |
| LPV state-space model identification in the Bayesian setting: A 3-step procedure PB Cox, R Tóth 2016 American Control Conference (ACC), 4604-4610, 2016 | 5 | 2016 |
| LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control P Boef, PB Cox, R Tóth arXiv preprint arXiv:2105.03695, 2021 | 3 | 2021 |
| System for deterring birds SFB Henskes, PRC Tammes, T Sprang, PB Cox US Patent 10,091,982, 2018 | 3 | 2018 |
| Analysing multibeam, cooperative, ground based radar in a bistatic configuration PB Cox, WL van Rossum 2020 IEEE International Radar Conference (RADAR), 912-917, 2020 | 2 | 2020 |
| System for deterring birds SFB Henskes, PRC Tammes, T Sprang, PB Cox US Patent 10,251,386, 2019 | 2 | 2019 |
| Description of the data generating system utilized in “prediction-error identification of LPV systems: a nonparametric gaussian regression approach” MAH Darwish, PB Cox, I Proimadis, G Pillonetto, R Toth Eindhoven University of Technology, Tech. Rep. TUE-CS-2017-001, 2017 | 2 | 2017 |
| Efficient Processing of Irregular PRF Waveforms: Clutter Suppression and Approximate 2D Matched Filtering K Klein, M Coutino, R Struiksma, P Cox, L Anitori 2023 IEEE Radar Conference (RadarConf23), 1-6, 2023 | 1 | 2023 |
| Run-time monitors design for adaptive radar systems: A practical framework P Cox, M Coutino, G Papari, AM Sardarabadi, L Anitori 2023 IEEE Radar Conference (RadarConf23), 1-6, 2023 | 1 | 2023 |
Roland TothFull Professor, Eindhoven University of TechnologyEmail verificata su tue.nl