| Identification of dynamic models in complex networks with prediction error methods—Basic methods for consistent module estimates PMJ Van den Hof, A Dankers, PSC Heuberger, X Bombois Automatica 49 (10), 2994-3006, 2013 | 274 | 2013 |
| Identification of dynamic models in complex networks with prediction error methods: Predictor input selection A Dankers, PMJ Van den Hof, X Bombois, PSC Heuberger IEEE Transactions on Automatic Control 61 (4), 937-952, 2015 | 141 | 2015 |
| Identifiability of linear dynamic networks HHM Weerts, PMJ Van den Hof, AG Dankers Automatica 89, 247-258, 2018 | 132 | 2018 |
| Errors-in-variables identification in dynamic networks—consistency results for an instrumental variable approach A Dankers, PMJ Van den Hof, X Bombois, PSC Heuberger Automatica 62, 39-50, 2015 | 81 | 2015 |
| Identifiability in dynamic network identification HHM Weerts, AG Dankers, PMJ Van den Hof IFAC-PapersOnLine 48 (28), 1409-1414, 2015 | 67 | 2015 |
| Prediction error identification of linear dynamic networks with rank-reduced noise HHM Weerts, PMJ Van den Hof, AG Dankers Automatica 98, 256-268, 2018 | 64 | 2018 |
| System identification in dynamic networks AG Dankers PhD dissertation, 2014 | 60 | 2014 |
| Method and system for detecting whether an acoustic event has occured along a fluid conduit A Dankers, SE Jalilian, D Westwick US Patent 11,428,600, 2022 | 44 | 2022 |
| Single module identifiability in linear dynamic networks H Weerts, PMJ Van den Hof, A Dankers 2018 IEEE Conference on Decision and Control (CDC), 4725-4730, 2018 | 32 | 2018 |
| Dynamic network structure identification with prediction error methods-basic examples AG Dankers, PMJ Van den Hof, PSC Heuberger, X Bombois IFAC Proceedings Volumes 45 (16), 876-881, 2012 | 31 | 2012 |
| Identification of dynamic networks operating in the presence of algebraic loops H Weerts, PMJ Van den Hof, A Dankers 2016 IEEE 55th Conference on Decision and Control (CDC), 4606-4611, 2016 | 29 | 2016 |
| Local module identification in dynamic networks with correlated noise: the full input case PMJ Van den Hof, KR Ramaswamy, AG Dankers, G Bottegal 2019 IEEE 58th Conference on Decision and Control (CDC), 5494-5499, 2019 | 25 | 2019 |
| Conditions for handling confounding variables in dynamic networks A Dankers, PMJ Van den Hof, D Materassi, HHM Weerts IFAC-PapersOnLine 50 (1), 3983-3988, 2017 | 25 | 2017 |
| Identifiability of dynamic networks with part of the nodes noise-free HHM Weerts, PMJ Van den Hof, AG Dankers IFAC-PapersOnLine 49 (13), 19-24, 2016 | 24 | 2016 |
| Predictor input selection for direct identification in dynamic networks AG Dankers, PMJ Van den Hof, PSC Heuberger 52nd IEEE Conference on Decision and Control, 4541-4546, 2013 | 24 | 2013 |
| A variance reduction technique for identification in dynamic networks B Gunes, A Dankers, PMJ Van den Hof IFAC Proceedings Volumes 47 (3), 2842-2847, 2014 | 23 | 2014 |
| Errors-in-variables identification in dynamic networks by an instrumental variable approach A Dankers, PMJ Van den Hof, X Bombois, PSC Heuberger IFAC Proceedings Volumes 47 (3), 2335-2340, 2014 | 23 | 2014 |
| Generalized sensing and actuation schemes for local module identification in dynamic networks KR Ramaswamy, PMJ Van den Hof, AG Dankers 2019 IEEE 58th Conference on Decision and Control (CDC), 5519-5524, 2019 | 19 | 2019 |
| Identification of dynamic networks with rank-reduced process noise HHM Weerts, PMJ Van den Hof, AG Dankers IFAC-PapersOnLine 50 (1), 10562-10567, 2017 | 19 | 2017 |
| Identification in dynamic networks PMJ Van den Hof, AG Dankers, HHM Weerts Computers & Chemical Engineering 109, 23-29, 2018 | 18 | 2018 |
Paul M.J. Van den HofProfessor Eindhoven University of TechnologyE-mail megerősítve itt: tue.nl