2024
|
K Rajagopalan: Fault detection and diagnosis of wafer scanners using dynamic network identification. Eindhoven University of Technology, 2024, (MSc Graduation report). (Type: Masters Thesis | )@mastersthesis{Rajagopalan:24,
title = {Fault detection and diagnosis of wafer scanners using dynamic network identification},
author = {K Rajagopalan},
year = {2024},
date = {2024-08-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
D Liang: Frequency domain identification in dynamic networks for in-circuit testing. Eindhoven University of Technology, 2024, (MSc Graduation report). (Type: Masters Thesis | Links)@mastersthesis{Desen_Liang:24,
title = {Frequency domain identification in dynamic networks for in-circuit testing},
author = {D Liang},
url = {http://publications.pvandenhof.nl/MScThesis/Desen_Liang_MSc_7-2-2024.pdf},
year = {2024},
date = {2024-02-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
E M M Kivits: Modelling and identification of physical linear networks. Eindhoven University of Technology, 2024. (Type: PhD Thesis | Links)@phdthesis{Kivits_diss:24,
title = {Modelling and identification of physical linear networks},
author = {E M M Kivits},
url = {http://www.publications.pvandenhof.nl/Theses/Kivits_PhDThesis_2024.pdf},
year = {2024},
date = {2024-01-01},
school = {Eindhoven University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
| |
Y Shi, S J M Fonken, P M J Van den Hof: Fault detection and diagnosis using the dynamic network framework. Proc. 20th IFAC Symp. System Identification, 17-18 July 2024, Boston, MA, USA, pp. 395-400, Boston, 2024. (Type: Inproceedings | Links)@inproceedings{YiboShi&etal_SYSID:24,
title = {Fault detection and diagnosis using the dynamic network framework},
author = {Y Shi and S J M Fonken and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Shi&etal_SYSID2024.pdf},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. 20th IFAC Symp. System Identification, 17-18 July 2024, Boston, MA, USA},
pages = {395-400},
address = {Boston},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
| |
P M J Van den Hof, S Shi, H H M Weerts, X Cheng, K R Ramaswamy, A G Dankers, H J DReef, S J M Fonken, T R V Steentjes, J B T Meijer: SYSDYNET - A MATLAB app and toolbox for dynamic network identification. Proc. 20th IFAC Symp. System Identification, 17-18 July 2024, Boston, MA, USA, pp. 585-590, Boston, 2024. (Type: Inproceedings | Links)@inproceedings{VandenHof&etal_SYSID:24,
title = {SYSDYNET - A MATLAB app and toolbox for dynamic network identification},
author = {P M J Van den Hof and S Shi and H H M Weerts and X Cheng and K R Ramaswamy and A G Dankers and H J DReef and S J M Fonken and T R V Steentjes and J B T Meijer},
url = {http://publications.pvandenhof.nl/Paperfiles/VandenHof&etal_SYSID2024.pdf},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. 20th IFAC Symp. System Identification, 17-18 July 2024, Boston, MA, USA},
pages = {585-590},
address = {Boston},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
| |
P M J Van den Hof, S Shi, S J M Fonken, K R Ramaswamy, H Hjalmarsson, A G Dankers: Data-informativity conditions for structured linear systems with implications for dynamic networks. 2024, (ArXiv:2409.03883 [eess.sY]). (Type: Technical Report | Links)@techreport{VandenHof&etal_ArXiv:24,
title = {Data-informativity conditions for structured linear systems with implications for dynamic networks},
author = {P M J Van den Hof and S Shi and S J M Fonken and K R Ramaswamy and H Hjalmarsson and A G Dankers},
url = {http://arxiv.org/abs/2409.03883},
year = {2024},
date = {2024-01-01},
note = {ArXiv:2409.03883 [eess.sY]},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
| |
2023
|
D Nikitas: Digital Twin for Diagnostics of Wafer Scanners. Eindhoven University of Technology, 2023, (MSc Graduation report). (Type: Masters Thesis | )@mastersthesis{Nikitas:23,
title = {Digital Twin for Diagnostics of Wafer Scanners},
author = {D Nikitas},
year = {2023},
date = {2023-10-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
Y Shi: Fault detection and diagnosis using the dynamic network framework. Eindhoven University of Technology, 2023, (MSc Graduation report). (Type: Masters Thesis | Links)@mastersthesis{Yibo_Shi:23,
title = {Fault detection and diagnosis using the dynamic network framework},
author = {Y Shi},
url = {http://publications.pvandenhof.nl/MScThesis/Yibo_Shi_MSc_25-10-2023.pdf},
year = {2023},
date = {2023-10-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
T R V Steentjes, M Lazar, P M J Van den Hof: On a canonical distributed controller in the behavioral framework. Systems & Control Letters, 179 (105581), 2023. (Type: Journal Article | Links)@article{Steentjes&etal_SCL:23,
title = {On a canonical distributed controller in the behavioral framework},
author = {T R V Steentjes, M Lazar and P M J Van den Hof},
url = {http://arxiv.org/abs/2210.06268},
doi = {https://doi.org/10.1016/j.sysconle.2023.105581},
year = {2023},
date = {2023-09-01},
journal = {Systems & Control Letters},
volume = {179},
number = {105581},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
E E M Kivits, P M J Van den Hof: Identification of diffusively coupled linear networks through structured polynomial models. IEEE Trans. Automatic Control, 68 (6), pp. 3513-3528, 2023. (Type: Journal Article | Links)@article{Kivits&VandenHof_TAC:23b,
title = {Identification of diffusively coupled linear networks through structured polynomial models},
author = {E E M Kivits and P M J Van den Hof},
url = {http://arxiv.org/abs/2106.01813},
doi = {10.1109/TAC.2022.3191406},
year = {2023},
date = {2023-06-01},
journal = {IEEE Trans. Automatic Control},
volume = {68},
number = {6},
pages = {3513-3528},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S Shi, X Cheng, P M J Van den Hof: Single module identifiability in linear dynamic networks with partial excitation and measurement. IEEE Trans. Automatic Control, 68 (1), pp. 285-300, 2023. (Type: Journal Article | Links)@article{Shi&etal_TAC:23,
title = {Single module identifiability in linear dynamic networks with partial excitation and measurement},
author = {S Shi and X Cheng and P M J Van den Hof},
url = {https://arxiv.org/pdf/2012.11414.pdf},
doi = {10.1109/TAC.2021.3137787},
year = {2023},
date = {2023-01-01},
journal = {IEEE Trans. Automatic Control},
volume = {68},
number = {1},
pages = {285-300},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
X Bombois, K Colin, P M J Van den Hof, H Hjalmarsson: On the informativity of direct identification experiments in dynamical networks. Automatica, 148 (110742), 2023. (Type: Journal Article | Links)@article{Bombois&etal_Autom:23b,
title = {On the informativity of direct identification experiments in dynamical networks},
author = {X Bombois and K Colin and P M J Van den Hof and H Hjalmarsson},
url = {http://publications.pvandenhof.nl/Paperfiles/Bombois&etal_Automatica_2023_final.pdf},
doi = {https://doi.org/10.1016/j.automatica.2022.110742},
year = {2023},
date = {2023-01-01},
journal = {Automatica},
volume = {148},
number = {110742},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
X Cheng, S Shi, I Lestas, P M J Van den Hof: A necessary condition for network identifiability with partial excitation and measurement. IEEE Trans. Automatic Control, 68 (11), pp. 6820-6827, 2023. (Type: Journal Article | Links)@article{Cheng&etal_TAC_TN:23,
title = {A necessary condition for network identifiability with partial excitation and measurement},
author = {X Cheng and S Shi and I Lestas and P M J Van den Hof},
url = {https://arxiv.org/pdf/2105.03187.pdf},
doi = {10.1109/TAC.2023.3239829},
year = {2023},
date = {2023-01-01},
journal = {IEEE Trans. Automatic Control},
volume = {68},
number = {11},
pages = {6820-6827},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
Control Systems Group, Eindhoven University of Technology : SYSDYNET Toolbox for MATLAB, Version Beta 0.2.0. 2023. (Type: Journal Article | Links)@article{sysdynet_toolbox:23,
title = {SYSDYNET Toolbox for MATLAB, Version Beta 0.2.0},
author = {Control Systems Group, Eindhoven University of Technology },
url = {https://www.sysdynet.net},
year = {2023},
date = {2023-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S J M Fonken, K R Ramaswamy, P M J Van den Hof: Local identification in dynamic networks using a multi-step least squares method. Proc. 62th IEEE Conf. on Decision and Control (CDC), pp. 431-436, IEEE Singapore, 2023. (Type: Inproceedings | Links)@inproceedings{Fonken&etal_CDC:23,
title = {Local identification in dynamic networks using a multi-step least squares method},
author = {S J M Fonken and K R Ramaswamy and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Fonken&etal_CDC2023.pdf},
year = {2023},
date = {2023-01-01},
booktitle = {Proc. 62th IEEE Conf. on Decision and Control (CDC)},
pages = {431-436},
address = {Singapore},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
| |
P M J Van den Hof, K R Ramaswamy, S J M Fonken: Integrating data-informativity conditions in predictor models for single module identification in dynamic networks. IFAC-PapersOnLine, 56-2 , pp. 2377-2382, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). (Type: Journal Article | Links)@article{VandenHof&etal_IFAC:23b,
title = {Integrating data-informativity conditions in predictor models for single module identification in dynamic networks},
author = {P M J Van den Hof and K R Ramaswamy and S J M Fonken},
url = {http://publications.pvandenhof.nl/Paperfiles/VandenHof&etal_IFAC2023.pdf},
year = {2023},
date = {2023-01-01},
journal = {IFAC-PapersOnLine},
volume = {56-2},
pages = {2377-2382},
note = {Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S Shi, X Cheng, B De Schutter, P M J Van den Hof: Signal selection for local module identification in linear dynamic networks: A graphical approach. IFAC-PapersOnLine, 56-2 , pp. 2407-2412, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). (Type: Journal Article | Links)@article{Shi&etal_IFAC:23b,
title = {Signal selection for local module identification in linear dynamic networks: A graphical approach},
author = {S Shi and X Cheng and B De Schutter and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Shi&etal_IFAC2023.pdf},
year = {2023},
date = {2023-01-01},
journal = {IFAC-PapersOnLine},
volume = {56-2},
pages = {2407-2412},
note = {Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
E M M Kivits, P M J Van den Hof: Identifiability of diffusively coupled linear networks with partial instrumentation. IFAC-PapersOnLine, 56-2 , pp. 2395-2400, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). (Type: Journal Article | Links)@article{Kivits&VandenHof_IFAC:23b,
title = {Identifiability of diffusively coupled linear networks with partial instrumentation},
author = {E M M Kivits and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Kivits&VandenHof_IFAC2023.pdf},
year = {2023},
date = {2023-01-01},
journal = {IFAC-PapersOnLine},
volume = {56-2},
pages = {2395-2400},
note = {Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
2022
|
K R Ramaswamy, P Z Csurcsia, J Schoukens, P M J Van den Hof: A frequency domain approach for local module identification in dynamic networks. Automatica, 142 (110370), 2022. (Type: Journal Article | Links)@article{Ramaswamy&etal_Autom:22,
title = {A frequency domain approach for local module identification in dynamic networks},
author = {K R Ramaswamy, P Z Csurcsia, J Schoukens and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Ramaswamy&etal_Autom22_final.pdf},
doi = {https://doi.org/10.1016/j.automatica.2022.110370},
year = {2022},
date = {2022-08-01},
journal = {Automatica},
volume = {142},
number = {110370},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S J M Fonken, K R Ramaswamy, P M J Van den Hof: A scalable multi-step least squares method for network identification with unknown disturbance topology. Automatica, 141 (110295), 2022. (Type: Journal Article | Links)@article{Fonken&etal_Autom:22,
title = {A scalable multi-step least squares method for network identification with unknown disturbance topology},
author = {S J M Fonken, K R Ramaswamy and P M J Van den Hof},
url = {https://doi.org/10.1016/j.automatica.2022.110295},
year = {2022},
date = {2022-07-01},
journal = {Automatica},
volume = {141},
number = {110295},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S Shi, X Cheng, P M J Van den Hof: Generic identifiability of subnetworks in a linear dynamic network: the full measurement case. Automatica, 137 (110093), 2022. (Type: Journal Article | Links)@article{Shi&etal_Autom:22,
title = {Generic identifiability of subnetworks in a linear dynamic network: the full measurement case},
author = {S Shi and X Cheng and P M J Van den Hof},
url = {https://doi.org/10.1016/j.automatica.2021.110093},
year = {2022},
date = {2022-03-01},
journal = {Automatica},
volume = {137},
number = {110093},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
X Cheng, S Shi, P M J Van den Hof: Allocation of excitation signals for generic identifiability of linear dynamic networks. IEEE Trans. Automatic Control, 67 (2), pp. 592-705, 2022. (Type: Journal Article | Links)@article{Cheng&etal_TAC:22,
title = {Allocation of excitation signals for generic identifiability of linear dynamic networks},
author = {X Cheng and S Shi and P M J Van den Hof},
url = {https://arxiv.org/abs/1910.04525
https://doi.org/10.1109/TAC.2021.3053540},
year = {2022},
date = {2022-02-01},
journal = {IEEE Trans. Automatic Control},
volume = {67},
number = {2},
pages = {592-705},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
T M V Steentjes, M Lazar, P M J Van den Hof: On data-driven control: informativity of noisy input-output data with cross-covariance bounds. IEEE Control Systems Letters (L-CSS), 6 , pp. 2192-2197, 2022. (Type: Journal Article | Links)@article{Steentjes&etal_LCSS:22,
title = {On data-driven control: informativity of noisy input-output data with cross-covariance bounds},
author = {T M V Steentjes and M Lazar and P M J Van den Hof},
url = {https://arxiv.org/abs/2111.14193},
doi = {10.1109/LCSYS.2021.3139526},
year = {2022},
date = {2022-01-12},
journal = {IEEE Control Systems Letters (L-CSS)},
volume = {6},
pages = {2192-2197},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
K R Ramaswamy: A guide to learning modules in a dynamic network. Eindhoven University of Technology, 2022. (Type: PhD Thesis | Links)@phdthesis{Ramaswamy_diss,
title = {A guide to learning modules in a dynamic network},
author = {K R Ramaswamy},
url = {http://www.publications.pvandenhof.nl/Theses/Ramaswamy_PhDThesis_2022.pdf},
year = {2022},
date = {2022-01-01},
school = {Eindhoven University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
| |
H J Dreef, S Shi, X. Cheng, M C F Donkers, P M J Van den Hof: Excitation allocation for generic identifiability of linear dynamic networks with fixed modules. IEEE Control Systems Letters (L-CSS), 6 , pp. 2587-2592, 2022. (Type: Journal Article | Links)@article{Dreef&etal_LCSS:22,
title = {Excitation allocation for generic identifiability of linear dynamic networks with fixed modules},
author = {H J Dreef, S Shi, X. Cheng, M C F Donkers and P M J Van den Hof},
url = {https://arxiv.org/abs/2201.09095},
doi = {10.1109/LCSYS.2022.3171172},
year = {2022},
date = {2022-01-01},
journal = {IEEE Control Systems Letters (L-CSS)},
volume = {6},
pages = {2587-2592},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
T R V Steentjes: Data-driven methods for distributed control of interconnected linear systems. Eindhoven University of Technology, 2022. (Type: PhD Thesis | Links)@phdthesis{Steentjes_diss:22,
title = {Data-driven methods for distributed control of interconnected linear systems},
author = {T R V Steentjes},
url = {http://www.publications.pvandenhof.nl/Theses/Steentjes_PhDThesis_2022.pdf},
year = {2022},
date = {2022-01-01},
school = {Eindhoven University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
| |
K R Ramaswamy, G Bottegal, P M J Van den Hof: Learning linear modules in a dynamic network with missing node observations. 2022, (Automatica, under review. ArXiv:2208.10995 [cs.sY]). (Type: Technical Report | Links)@techreport{Ramaswamy&Bottegal&VandenHof:22,
title = {Learning linear modules in a dynamic network with missing node observations},
author = {K R Ramaswamy and G Bottegal and P M J Van den Hof},
url = {http://arxiv.org/abs/2208.10995},
year = {2022},
date = {2022-01-01},
note = {Automatica, under review. ArXiv:2208.10995 [cs.sY]},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
| |
T R V Steentjes, M Lazar, P M J Van den Hof: Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds. Proc. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), pp. 816-821, Bayreuth, Germany, 2022. (Type: Inproceedings | Links)@inproceedings{Steentjes&etal_MTNS:22,
title = {Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds},
author = {T R V Steentjes and M Lazar and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Steentjes&etal_MTNS2022.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proc. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022)},
pages = {816-821},
address = {Bayreuth, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
| |
E M M Kivits, P M J Van den Hof: Local identification in diffusively coupled linear networks. Proc. 61th IEEE Conf. on Decision and Control (CDC), pp. 874-879, IEEE Cancun, Mexico, 2022. (Type: Inproceedings | Links)@inproceedings{Kivits&VandenHof_CDC:22,
title = {Local identification in diffusively coupled linear networks},
author = {E M M Kivits and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Kivits&VandenHof_CDC2022.pdf},
year = {2022},
date = {2022-01-01},
booktitle = {Proc. 61th IEEE Conf. on Decision and Control (CDC)},
pages = {874-879},
address = {Cancun, Mexico},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
| |
2021
|
J B T Meijer: Improvements for In-Circuit Testing using RLC Network Identification. Eindhoven University of Technology, 2021, (MSc Graduation report). (Type: Masters Thesis | Links)@mastersthesis{Meijer:21,
title = {Improvements for In-Circuit Testing using RLC Network Identification},
author = {J B T Meijer},
url = {http://publications.pvandenhof.nl/MScThesis/Job_Meijer_MSc_8-12-2021.pdf},
year = {2021},
date = {2021-12-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
K R Ramaswamy, P M J Van den Hof: A local direct method for module identification in dynamic networks with correlated noise. IEEE Trans. Automatic Control, 66 (11), pp. 5237-5252, 2021. (Type: Journal Article | Links)@article{Ramaswamy&etal_TAC:21,
title = {A local direct method for module identification in dynamic networks with correlated noise},
author = {K R Ramaswamy and P M J Van den Hof},
url = {https://arxiv.org/abs/1908.00976},
doi = {10.1109/TAC.2020.3035634},
year = {2021},
date = {2021-11-01},
journal = {IEEE Trans. Automatic Control},
volume = {66},
number = {11},
pages = {5237-5252},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
K R Ramaswamy, G Bottegal, P M J Van den Hof: Learning linear models in a dynamic network using regularized kernel-based methods. Automatica, 129 (109591), 2021. (Type: Journal Article | Links)@article{Ramaswamy&etal_Autom:21b,
title = {Learning linear models in a dynamic network using regularized kernel-based methods},
author = {K R Ramaswamy and G Bottegal and P M J Van den Hof},
doi = {10.1016/j.automatica.2021.109591},
year = {2021},
date = {2021-07-01},
journal = {Automatica},
volume = {129},
number = {109591},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S Shi: Topological aspects of linear dynamic networks: identifiability and identification. Eindhoven University of Technology, 2021. (Type: PhD Thesis | Links)@phdthesis{Shi_diss,
title = {Topological aspects of linear dynamic networks: identifiability and identification},
author = {S Shi},
url = {http://www.publications.pvandenhof.nl/Theses/Shi_PhDThesis_2021.pdf},
year = {2021},
date = {2021-01-01},
school = {Eindhoven University of Technology},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
| |
T R V Steentjes, M Lazar, P M J Van den Hof: Scalable distributed H2 controller synthesis for interconnected linear discrete-time systems. IFAC-PapersOnLine, 54-9 , pp. 66-71, 2021, (Proc. 24th Intern. Symposium MTNS, Cambridge, UK). (Type: Journal Article | Links)@article{Steentjes&etal_MTNS:21,
title = {Scalable distributed H2 controller synthesis for interconnected linear discrete-time systems},
author = {T R V Steentjes and M Lazar and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Steentjes&etal_MTNS2021.pdf},
year = {2021},
date = {2021-01-01},
journal = {IFAC-PapersOnLine},
volume = {54-9},
pages = {66-71},
note = {Proc. 24th Intern. Symposium MTNS, Cambridge, UK},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
T R V Steentjes, M Lazar, P M J Van den Hof: H_infinity performance analysis an distributed controller synthesis for
interconnected linear systems from noisy input-state data. Proc. 60th IEEE Conf. on Decision and Control (CDC), pp. 3723-3728, IEEE Austin, Texas, 2021. (Type: Inproceedings | Links)@inproceedings{Steentjes&etal_CDC:21,
title = {H_infinity performance analysis an distributed controller synthesis for
interconnected linear systems from noisy input-state data},
author = {T R V Steentjes and M Lazar and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Steentjes&etal_CDC2021.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Proc. 60th IEEE Conf. on Decision and Control (CDC)},
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V C Rajagopal, K R Ramaswamy, P M J Van den Hof: Learning local modules in dynamic networks without prior topology
information. Proc. 60th IEEE Conf. on Decision and Control (CDC), pp. 840-845, IEEE Austin, Texas, 2021. (Type: Inproceedings | Links)@inproceedings{Rajagopal&etal_CDC:21,
title = {Learning local modules in dynamic networks without prior topology
information},
author = {V C Rajagopal and K R Ramaswamy and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Rajagopal&etal_CDC2021.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Proc. 60th IEEE Conf. on Decision and Control (CDC)},
pages = {840-845},
address = {Austin, Texas},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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H J Dreef, M C F Donkers, P M J Van den Hof: Identifiability of linear dynamic networks through switching modules. IFAC-PapersOnLine, 54-7 , pp. 37-42, 2021, (Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control). (Type: Journal Article | Links)@article{Dreef&Donkers&VandenHof_ifac:21,
title = {Identifiability of linear dynamic networks through switching modules},
author = {H J Dreef and M C F Donkers and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Dreef&etal_IFAC2021.pdf},
year = {2021},
date = {2021-01-01},
journal = {IFAC-PapersOnLine},
volume = {54-7},
pages = {37-42},
note = {Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control},
keywords = {},
pubstate = {published},
tppubtype = {article}
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S Shi, X Cheng, P M J Van den Hof: Exploiting unmeasured disturbance signals in identifiability of linear dynamic networks with partial measurement and partial excitation. Prepr. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control, pp. 264-267, Padova, Italy, 2021, (Extended abstract). (Type: Inproceedings | Links)@inproceedings{Shi&Cheng&VandenHof_ifac:21,
title = {Exploiting unmeasured disturbance signals in identifiability of linear dynamic networks with partial measurement and partial excitation},
author = {S Shi and X Cheng and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Shi&etal_SYSID2021.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Prepr. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control},
pages = {264-267},
address = {Padova, Italy},
note = {Extended abstract},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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T R V Steentjes, P M J Van den Hof, M Lazar: Handling unmeasured disturbances in data-driven distributed control with virtual reference feedback tuning. IFAC-PapersOnLine, 54-7 , pp. 204-209, 2021, (Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control). (Type: Journal Article | Links)@article{Steentjes&VandenHof&Lazar_ifac:21,
title = {Handling unmeasured disturbances in data-driven distributed control with virtual reference feedback tuning},
author = {T R V Steentjes and P M J Van den Hof and M Lazar},
url = {http://publications.pvandenhof.nl/Paperfiles/Steentjes&etal_IFAC2021.pdf},
year = {2021},
date = {2021-01-01},
journal = {IFAC-PapersOnLine},
volume = {54-7},
pages = {204-209},
note = {Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control},
keywords = {},
pubstate = {published},
tppubtype = {article}
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| |
P M J Van den Hof, K R Ramaswamy: Learning local models in dynamic networks. Proc. Machine Learning Research, 144 , pp. 176-188, 2021. (Type: Journal Article | Links)@article{VandenHof&Ramaswamy_L4DC:21,
title = {Learning local models in dynamic networks},
author = {P M J Van den Hof and K R Ramaswamy},
url = {http://publications.pvandenhof.nl/Paperfiles/VandenHof&Ramaswamy_L4DC21.pdf},
year = {2021},
date = {2021-01-01},
journal = {Proc. Machine Learning Research},
volume = {144},
pages = {176-188},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
X Cheng, S Shi, P M J Van den Hof: Identifiability in dynamic acyclic networks with partial excitation and measurement. Prepr. 2021 European Control Conference, IEEE Rotterdam, The Netherlands, 2021, (Extended abstract). (Type: Conference | Links)@conference{Cheng&etal_ECC:21,
title = {Identifiability in dynamic acyclic networks with partial excitation and measurement},
author = {X Cheng and S Shi and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Cheng&etal_ECC2021.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Prepr. 2021 European Control Conference},
pages = {2370-2373},
address = {Rotterdam, The Netherlands},
organization = {IEEE},
note = {Extended abstract},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
| |
T R V Steentjes, M Lazar, P M J Van den Hof: Data-driven distributed controller synthesis in the presence of noise: an optimal controller identification approach. Proc. 2021 European Control Conference, pp. 2358-2363, IEEE Rotterdam, The Netherlands, 2021. (Type: Inproceedings | Links)@inproceedings{Steentjes&etal_ECC:21,
title = {Data-driven distributed controller synthesis in the presence of noise: an optimal controller identification approach},
author = {T R V Steentjes and M Lazar and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Steentjes&etal_ECC2021.pdf},
doi = {10.23919/ECC54610.2021.9655114},
year = {2021},
date = {2021-01-01},
booktitle = {Proc. 2021 European Control Conference},
pages = {2358-2363},
address = {Rotterdam, The Netherlands},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
| |
Anupama: Data-driven modelling and decentralized H_2 control of power networks. Eindhoven University of Technology, 2021, (MSc Graduation report). (Type: Masters Thesis | Links)@mastersthesis{Anupama:21,
title = {Data-driven modelling and decentralized H_2 control of power networks},
author = {Anupama},
url = {http://publications.pvandenhof.nl/MScThesis/Anupama_MSc_2-1-2021.pdf},
year = {2021},
date = {2021-01-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
2020
|
S J M Fonken: Multi-step scalable least squares method for network identification with unknown noise topology. Eindhoven University of Technology, 2020, (MSc Graduation report). (Type: Masters Thesis | Links)@mastersthesis{Fonken:20b,
title = {Multi-step scalable least squares method for network identification with unknown noise topology},
author = {S J M Fonken},
url = {http://publications.pvandenhof.nl/MScThesis/Stefanie_Fonken_MSc_8-12-2020.pdf},
year = {2020},
date = {2020-12-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
R J C van Esch, S Shi, A Bernas, Zinger Z., A P Aldenkamp, P M J Van den Hof: A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect. Computers in Biology and Medicine, 2020. (Type: Journal Article | Links)@article{vanEsch&etal:20,
title = {A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect},
author = {R J C van Esch and S Shi and A Bernas and Zinger Z. and A P Aldenkamp and P M J Van den Hof},
doi = {10.1016/j.compbiomed.2020.104055},
year = {2020},
date = {2020-10-15},
journal = {Computers in Biology and Medicine},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
V C Rajagopal: Learning local modules in dynamic networks without prior topology information. Eindhoven University of Technology, 2020, (MSc Graduation report). (Type: Masters Thesis | Links)@mastersthesis{Rajagopal:20,
title = {Learning local modules in dynamic networks without prior topology information},
author = {V C Rajagopal},
url = {http://publications.pvandenhof.nl/MScThesis/Rajagopal_MSc_27-10-2020.pdf},
year = {2020},
date = {2020-10-01},
school = {Eindhoven University of Technology},
note = {MSc Graduation report},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
| |
H H M Weerts, J Linder, M Enqvist, P M J Van den Hof: Abstractions of linear dynamic networks for input selection in local module identification. Automatica, 117 (108975), 2020. (Type: Journal Article | Links)@article{Weerts&etal_Autom:2020,
title = {Abstractions of linear dynamic networks for input selection in local module identification},
author = {H H M Weerts and J Linder and M Enqvist and P M J Van den Hof},
url = {https://arxiv.org/abs/1901.00348},
doi = {10.1016/j.automatica.2020.108975},
year = {2020},
date = {2020-07-01},
journal = {Automatica},
volume = {117 },
number = {108975},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
P M J Van den Hof, K R Ramaswamy, S Shi, H J Dreef: Identifiability and data-informativity for single module identification in dynamic networks.. 2020, (Accepted as extended abstract in MTNS2020, but unpublished). (Type: Technical Report | Links)@techreport{VandenHof&etal-MTNS:20,
title = {Identifiability and data-informativity for single module identification in dynamic networks.},
author = {P M J Van den Hof and K R Ramaswamy and S Shi and H J Dreef},
url = {http://publications.pvandenhof.nl/Reportfiles/VandenHof&etal_MTNS2020.pdf},
year = {2020},
date = {2020-01-01},
note = {Accepted as extended abstract in MTNS2020, but unpublished},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
| |
S Shi, X Cheng, P M J Van den Hof: Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach. IFAC-PapersOnLine, 53-2 , pp. 40-45, 2020, (Proc. 21st IFAC World Congress, Berlin, Germany). (Type: Journal Article | Links)@article{Shi&Cheng&VandenHof_ifac:20,
title = {Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach},
author = {S Shi and X Cheng and P M J Van den Hof},
url = {http://publications.pvandenhof.nl/Paperfiles/Shi&etal_IFAC2020.pdf},
year = {2020},
date = {2020-01-01},
journal = {IFAC-PapersOnLine},
volume = {53-2},
pages = {40-45},
note = {Proc. 21st IFAC World Congress, Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |
S Fonken, M Ferizbegovic, H Hjalmarsson: Consistent identification of dynamic networks subject to white noise using weighted null-space fitting. IFAC-PapersOnLine, 53-2 , pp. 46-51, 2020, (Proc. 21st IFAC World Congress, Berlin, Germany). (Type: Journal Article | Links)@article{Fonken&Ferizbgovic&Hjalmarsson_ifac:20,
title = {Consistent identification of dynamic networks subject to white noise using weighted null-space fitting},
author = {S Fonken and M Ferizbegovic and H Hjalmarsson},
url = {http://publications.pvandenhof.nl/Paperfiles/Fonken&etal_IFAC2020.pdf},
year = {2020},
date = {2020-01-01},
journal = {IFAC-PapersOnLine},
volume = {53-2},
pages = {46-51},
note = {Proc. 21st IFAC World Congress, Berlin, Germany},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
| |