| Efficient multidimensional regularization for Volterra series estimation G Birpoutsoukis, PZ Csurcsia, J Schoukens Mechanical Systems and Signal Processing 104, 896-914, 2018 | 36 | 2018 |
| User-friendly nonlinear nonparametric estimation framework for vibro-acoustic industrial measurements with multiple inputs PZ Csurcsia, B Peeters, J Schoukens Mechanical Systems and Signal Processing 145, 106926, 2020 | 28 | 2020 |
| Static nonlinearity handling using best linear approximation: An introduction P Csurcsia Pollack Periodica 8 (1), 153-165, 2013 | 26 | 2013 |
| Modal analysis of wind turbine blades with different test setup configurations E Di Lorenzo, S Manzato, B Peeters, V Ruffini, P Berring, PU Haselbach, ... Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 37th IMAC …, 2020 | 25 | 2020 |
| Nonparametric estimation of time-varying systems using 2-D regularization PZ Csurcsia, J Lataire IEEE Transactions on Instrumentation and Measurement 65 (5), 1259-1270, 2016 | 25 | 2016 |
| Identification of time-varying systems using a two-dimensional B-spline algorithm PZ Csurcsia, J Schoukens, I Kollár 2012 IEEE International Instrumentation and Measurement Technology …, 2012 | 21 | 2012 |
| Simplified analysis for multiple input systems: A toolbox study illustrated on F-16 measurements PZ Csurcsia, B Peeters, J Schoukens, T De Troyer Vibration 3 (2), 70-84, 2020 | 19 | 2020 |
| A frequency domain approach for local module identification in dynamic networks KR Ramaswamy, PZ Csurcsia, J Schoukens, PMJ Van den Hof Automatica 142, 110370, 2022 | 17 | 2022 |
| A first study of using B-splines in nonparametric system identification PZ Csurcsia, J Schoukens, I Kollár 2013 IEEE 8th International Symposium on Intelligent Signal Processing, 87-92, 2013 | 17 | 2013 |
| Machine learning and system identification for the estimation of data-driven models: An experimental case study illustrated on a tire-suspension system M Elkafafy, P Csurcsia, B Cornelis, E Risaliti, K Janssens Proceedings of ISMA, 2020 | 15 | 2020 |
| Nonparametric Time Domain Identification of Linear Slowly Time-variant Systems using B-splines JL Péter Zoltán Csurcsia, Johan Schoukens, István Kollár IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 64 (1), 252-262, 2015 | 15* | 2015 |
| A data-driven nonlinear state-space model of the unsteady lift force on a pitching wing MF Siddiqui, T De Troyer, J Decuyper, PZ Csurcsia, J Schoukens, ... Journal of Fluids and Structures 114, 103706, 2022 | 14 | 2022 |
| The best linear approximation of MIMO systems: Simplified nonlinearity assessment using a toolbox PZ Csurcsia, B Peeters, J Schoukens Proceedings of ISMA, 2020 | 13 | 2020 |
| Nonlinearity assessment of MIMO electroacoustic systems on direct field environmental acoustic testing MA Blanco, PZ Csurcsia, B Peeters, K Janssens, W Desmet ISMA 2018, 457-471, 2018 | 13 | 2018 |
| The best linear approximation of MIMO systems: first results on simplified nonlinearity assessment PZ Csurcsia, B Peeters, J Schoukens Nonlinear Structures and Systems, Volume 1: Proceedings of the 37th IMAC, A …, 2020 | 12 | 2020 |
| Experimental validation of a data-driven step input estimation method for dynamic measurements GQ Carapia, I Markovsky, R Pintelon, PZ Csurcsia, D Verbeke IEEE Transactions on Instrumentation and Measurement 69 (7), 4843-4851, 2019 | 11 | 2019 |
| Nonparametric Volterra series estimate of the cascaded water tanks using multidimensional regularization G Birpoutsoukis, PZ Csurcsia, J Schoukens IFAC-PapersOnLine 50 (1), 476-481, 2017 | 10 | 2017 |
| Nonlinear modelling of an F16 benchmark measurement PZ Csurcsia, J Decuyper, B Renczes, T De Troyer Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2022 | 9 | 2022 |
| An empirical study on decoupling PNLSS models illustrated on an airplane PZ Csurcsia, T De Troyer IFAC-PapersOnLine 54 (7), 673-678, 2021 | 8 | 2021 |
| Digital implementation of the PID controller P Bhandari, PZ Csurcsia Software Impacts 13, 100306, 2022 | 7 | 2022 |
Bart PeetersSenior Researcher, Siemens Industry SoftwareDirección de correo verificada de siemens.com
