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113 entries « ‹ 2 of 6 › »

21.	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 Proceedings Article In: Proc. 62th IEEE Conf. on Decision and Control (CDC), pp. 431-436, IEEE Singapore, 2023. \| 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} } Close
22.	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 Journal Article In: IFAC-PapersOnLine, vol. 56-2, pp. 2377-2382, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). \| 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} } Close
23.	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 Journal Article In: IFAC-PapersOnLine, vol. 56-2, pp. 2407-2412, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). \| 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} } Close
24.	E M M Kivits; P M J Van den Hof Identifiability of diffusively coupled linear networks with partial instrumentation Journal Article In: IFAC-PapersOnLine, vol. 56-2, pp. 2395-2400, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). \| 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} } Close
25.	J Schoukens P Z Csurcsia K R Ramaswamy; P M J Van den Hof A frequency domain approach for local module identification in dynamic networks Journal Article In: Automatica, vol. 142, no. 110370, 2022. \| Links: @article{Ramaswamy&etal_Autom:22, title = {A frequency domain approach for local module identification in dynamic networks}, author = {J Schoukens P Z Csurcsia K R Ramaswamy 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} } Close
26.	K R Ramaswamy S J M Fonken; P M J Van den Hof A scalable multi-step least squares method for network identification with unknown disturbance topology Journal Article In: Automatica, vol. 141, no. 110295, 2022. \| Links: @article{Fonken&etal_Autom:22, title = {A scalable multi-step least squares method for network identification with unknown disturbance topology}, author = {K R Ramaswamy S J M Fonken 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} } Close
27.	S Shi; X Cheng; P M J Van den Hof Generic identifiability of subnetworks in a linear dynamic network: the full measurement case Journal Article In: Automatica, vol. 137, no. 110093, 2022. \| 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} } Close
28.	X Cheng; S Shi; P M J Van den Hof Allocation of excitation signals for generic identifiability of linear dynamic networks Journal Article In: IEEE Trans. Automatic Control, vol. 67, no. 2, pp. 592-705, 2022. \| 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} } Close
29.	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 Journal Article In: IEEE Control Systems Letters (L-CSS), vol. 6, pp. 2192-2197, 2022. \| 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} } Close
30.	K R Ramaswamy A guide to learning modules in a dynamic network PhD Thesis Eindhoven University of Technology, 2022. \| Links: @phdthesis{Ramaswamy_diss, title = {A guide to learning modules in a dynamic network}, author = {K R Ramaswamy}, url = {http://publications.pvandenhof.nl/Theses/Ramaswamy_PhDThesis_2022.pdf}, year = {2022}, date = {2022-01-01}, school = {Eindhoven University of Technology}, keywords = {}, pubstate = {published}, tppubtype = {phdthesis} } Close
31.	X. Cheng S Shi H J Dreef; P M J Van den Hof Excitation allocation for generic identifiability of linear dynamic networks with fixed modules Journal Article In: IEEE Control Systems Letters (L-CSS), vol. 6, pp. 2587-2592, 2022. \| Links: @article{Dreef&etal_LCSS:22, title = {Excitation allocation for generic identifiability of linear dynamic networks with fixed modules}, author = {X. Cheng S Shi H J Dreef 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} } Close
32.	T R V Steentjes Data-driven methods for distributed control of interconnected linear systems PhD Thesis Eindhoven University of Technology, 2022. \| Links: @phdthesis{Steentjes_diss:22, title = {Data-driven methods for distributed control of interconnected linear systems}, author = {T R V Steentjes}, url = {http://publications.pvandenhof.nl/Theses/Steentjes_PhDThesis_2022.pdf}, year = {2022}, date = {2022-01-01}, school = {Eindhoven University of Technology}, keywords = {}, pubstate = {published}, tppubtype = {phdthesis} } Close
33.	K R Ramaswamy; G Bottegal; P M J Van den Hof Learning linear modules in a dynamic network with missing node observations Technical Report 2022, (Automatica, under review. ArXiv:2208.10995 [cs.sY]). \| 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} } Close
34.	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 Proceedings Article In: Proc. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), pp. 816-821, Bayreuth, Germany, 2022. \| 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} } Close
35.	E M M Kivits; P M J Van den Hof Local identification in diffusively coupled linear networks Proceedings Article In: Proc. 61th IEEE Conf. on Decision and Control (CDC), pp. 874-879, IEEE Cancun, Mexico, 2022. \| 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} } Close
36.	J B T Meijer Improvements for In-Circuit Testing using RLC Network Identification Masters Thesis Eindhoven University of Technology, 2021, (MSc Graduation report). \| 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} } Close
37.	K R Ramaswamy; P M J Van den Hof A local direct method for module identification in dynamic networks with correlated noise Journal Article In: IEEE Trans. Automatic Control, vol. 66, no. 11, pp. 5237-5252, 2021. \| 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} } Close
38.	K R Ramaswamy; G Bottegal; P M J Van den Hof Learning linear models in a dynamic network using regularized kernel-based methods Journal Article In: Automatica, vol. 129, no. 109591, 2021. \| 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} } Close
39.	S Shi Topological aspects of linear dynamic networks: identifiability and identification PhD Thesis Eindhoven University of Technology, 2021. \| Links: @phdthesis{Shi_diss, title = {Topological aspects of linear dynamic networks: identifiability and identification}, author = {S Shi}, url = {http://publications.pvandenhof.nl/Theses/Shi_PhDThesis_2021.pdf}, year = {2021}, date = {2021-01-01}, school = {Eindhoven University of Technology}, keywords = {}, pubstate = {published}, tppubtype = {phdthesis} } Close
40.	T R V Steentjes; M Lazar; P M J Van den Hof Scalable distributed H2 controller synthesis for interconnected linear discrete-time systems Journal Article In: IFAC-PapersOnLine, vol. 54-9, pp. 66-71, 2021, (Proc. 24th Intern. Symposium MTNS, Cambridge, UK). \| 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} } Close

113 entries « ‹ 2 of 6 › »

113 entries « ‹ 2 of 3 › »

Journal Articles

2020

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 Journal Article

In: Automatica, vol. 117, no. 108975, 2020.

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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 Journal Article

In: IFAC-PapersOnLine, vol. 53-2, pp. 40-45, 2020, (Proc. 21st IFAC World Congress, Berlin, Germany).

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S Fonken; M Ferizbegovic; H Hjalmarsson

Consistent identification of dynamic networks subject to white noise using weighted null-space fitting Journal Article

In: IFAC-PapersOnLine, vol. 53-2, pp. 46-51, 2020, (Proc. 21st IFAC World Congress, Berlin, Germany).

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2018

H H M Weerts; P M J Van den Hof; A G Dankers

Prediction error identification of linear dynamic networks with rank-reduced noise Journal Article

In: Automatica, vol. 98, pp. 256-268, 2018.

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N Everitt; G Bottegal; H Hjalmarsson

An emperical Bayes approach to identification of modules in dynamic networks Journal Article

In: Automatica, vol. 91, pp. 144-151, 2018.

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H H M Weerts; P M J Van den Hof; A G Dankers

Identifiability of linear dynamic networks Journal Article

In: Automatica, vol. 89, pp. 247-258, 2018.

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P M J Van den Hof; A G Dankers; Weerts H H M

Identification in dynamic networks Journal Article

In: Computers & Chemical Engineering, vol. 109, pp. 23-29, 2018.

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H H M Weerts; M Galrinho; G Bottegal; H Hjalmarsson; P M J Van den Hof

A sequential least squares algorithm for ARMAX dynamic network identification Journal Article

In: IFAC-PapersOnLine, vol. 51-15, pp. 844-849, 2018, (Proc. 18th IFAC Symp. System Identification).

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G Bottegal; A Chiuso; P M J Van den Hof

On dynamic network modeling of stationary multivariate processes Journal Article

In: IFAC-PapersOnLine, vol. 51-15, pp. 850-861, 2018, (Proc. 18th IFAC Symp. System Identification).

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E M M Kivits; P M J Van den Hof

On representations of linear dynamic networks Journal Article

In: IFAC-PapersOnLine, vol. 51-15, pp. 838-843, 2018, (Proc. 18th IFAC Symp. System Identification).

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M Schoukens; P M J Van den Hof

Detecting nonlinear modules in a dynamic network: a step-by-step procedure Journal Article

In: IFAC-PapersOnLine, vol. 51-15, pp. 593-597, 2018, (Proc. 18th IFAC Symp. System Identification).

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T R V Steentjes; M Lazar; P M J Van den Hof

A recursive estimation approach to distributed identification of large-scale multi-input single output FIR systems Journal Article

In: IFAC-PapersOnLine, vol. 51-23, pp. 236-241, 2018, (Proc. 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems).

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2017

H H M Weerts; P M J Van den Hof; A G Dankers

Identification of dynamic networks with rank-reduced process noise Journal Article

In: IFAC-PapersOnLine, vol. 50-1, pp. 10562-10567, 2017, (Proc. 20th IFAC World Congress).

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A G Dankers; P M J Van den Hof; D Materassi; H H M Weerts

Conditions for handling confounding variables in dynamic networks Journal Article

In: IFAC-PapersOnLine, vol. 50-1, pp. 3983-3988, 2017, (Proc. 20th IFAC World Congress).

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2016

A G Dankers; P M J Van den Hof; P S C Heuberger; X Bombois

Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection Journal Article

In: IEEE Trans. on Automatic Control, vol. 61, no. 4, pp. 937–952, 2016.

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H H M Weerts; P M J Van den Hof; A G Dankers

Identifiability of dynamic networks with part of the nodes noise-free Journal Article

In: IFAC-PapersOnLine, vol. 49, no. 13, pp. 19-24, 2016, (Proc. 12th IFAC Workshop ALCOSP, Eindhoven, the Netherlands.).

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Proceedings Articles

2020

P M J Van den Hof; K R Ramaswamy

Single module identification in dynamic networks - the current status Proceedings Article

In: Prepr. 21st IFAC World Congress, pp. 52-55, Berlin, Germany, 2020, (Extended abstract).

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P M J Van den Hof; K R Ramaswamy

Path-based data-informativity conditions for single module identification in dynamic networks Proceedings Article

In: Proc. 59th IEEE Conf. on Decision and Control (CDC), pp. 4354-4359, IEEE Jeju Island, Republic of Korea, 2020.

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T R V Steentjes; M Lazar; P M J Van den Hof

Data-driven distributed control via virtual reference feedback tuning Proceedings Article

In: Proc. 59th IEEE Conf. on Decision and Control (CDC), pp. 1804-1809, IEEE Jeju Island, Republic of Korea, 2020.

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V C Rajagopal; K R Ramaswamy; P M J Van den Hof

A regularized kernel-based method for learning a module in a dynamic network with correlated noise Proceedings Article

In: Proc. 59th IEEE Conf. on Decision and Control (CDC), pp. 4348-4353, IEEE Jeju Island, Republic of Korea, 2020.

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2019

S Shi; G Bottegal; P M J Van den Hof

Bayesian topology identification of linear dynamic networks Proceedings Article

In: Proc. 2019 European Control Conference, pp. 2814-2819, Napels, Italy, 2019.

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K R Ramaswamy; P M J Van den Hof; Dankers A G.

Generalized sensing and actuation schemes for local module identification in dynamic networks Proceedings Article

In: Proc. 58th IEEE Conf. on Decision and Control (CDC), pp. 5519-5524, IEEE Nice, France, 2019.

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P M J Van den Hof; K R Ramaswamy; A G Dankers; G Bottegal

Local module identification in dynamic networks with correlated noise: the full input case Proceedings Article

In: Proc. 58th IEEE Conf. on Decision and Control (CDC), pp. 5494-5499, IEEE Nice, France, 2019.

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X Cheng; S Shi; P M J Van den Hof

Allocation of excitation signals for generic identifiability of dynamic networks Proceedings Article

In: Proc. 58th IEEE Conf. on Decision and Control (CDC), pp. 5507-5512, IEEE Nice, France, 2019.

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E M M Kivits; P M J Van den Hof

A dynamic network approach to identification of physical systems Proceedings Article

In: Proc. 58th IEEE Conf. on Decision and Control (CDC), pp. 4533-4538, IEEE Nice, France, 2019.

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2018

M Schoukens; J P Noël; P M J Van den Hof

Combining experiments for linear network identification in the presence of nonlinearities. Proceedings Article

In: Journal of Physics: Conference Series, 2018, (Proc. XXII World Congress of the International Measurement Confederation (IMEKO 2018), Belfast, UK).

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H H M Weerts; P M J Van den Hof; A G Dankers

Single module identifiability in linear dynamic networks Proceedings Article

In: Proc. 57th IEEE Conf. on Decision and Control (CDC), pp. 4725-4730, IEEE Miami Beach, FL, 2018.

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K R Ramaswamy; G Bottegal; P M J Van den Hof

Local module identification in dynamic networks using regularized kernel-based methods Proceedings Article

In: Proc. 57th IEEE Conf. on Decision and Control (CDC), pp. 4713-4718, IEEE Miami Beach, FL, 2018.

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2017

P M J Van den Hof; A G Dankers; H H M Weerts

Identification in dynamic networks Proceedings Article

In: Proc. Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC 2017), Tucson, AZ, USA, 2017.

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P M J Van den Hof; H H M Weerts; A G Dankers

Prediction error identification with rank-reduced output noise Proceedings Article

In: Proc. 2017 American Control Conference, pp. 382–387, Seattle, 2017.

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P M J Van den Hof; A G Dankers; H H M Weerts

From closed-loop identification to dynamic networks: generalization of the direct method Proceedings Article

In: Proc. 56th IEEE Conf. on Decision and Control (CDC), pp. 5845-5850, IEEE Melbourne, Australia, 2017.

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2016

H H M Weerts; P M J Van den Hof; A G Dankers

Identification of dynamic networks operating in the presence of algebraic loops Proceedings Article

In: Proc. 55nd IEEE Conf. on Decision and Control (CDC), pp. 4606–4611, IEEE 2016.

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Masters Theses

2020

S J M Fonken

Multi-step scalable least squares method for network identification with unknown noise topology Masters Thesis

Eindhoven University of Technology, 2020, (MSc Graduation report).

Links | BibTeX

V C Rajagopal

Learning local modules in dynamic networks without prior topology information Masters Thesis

Eindhoven University of Technology, 2020, (MSc Graduation report).

Links | BibTeX

2019

V C Rajagopal

An iterative algorithm for learning dynamic networks with correlated noise Masters Thesis

Eindhoven University of Technology, 2019, (Internship Report).

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R Esch

Topology detection in brain networks Masters Thesis

Eindhoven University of Technology, 2019.

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X Chen

Centralized and distributed identified model based predictive control for museum Hermitage Amsterdam Masters Thesis

Eindhoven University of Technology, 2019.

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2018

Yang Song

Identification of continuous-time ARX-Models subject to missing data Masters Thesis

Eindhoven University of Technology, 2018.

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2017

B J T Ludlage

System identification of the inertia and natural damping of an interconnected control area Masters Thesis

Eindhoven University of Technology, 2017.

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E E Raclaru

Topology detection using Bayesian statistics Masters Thesis

Eindhoven University of Technology, 2017.

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Technical Reports

2020

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. Technical Report

2020, (Accepted as extended abstract in MTNS2020, but unpublished).

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P M J Van den Hof; K R Ramaswamy

Path-based data-informativity conditions for single module identification in dynamic networks Technical Report

Eindhoven University of Technology 2020, (Extended report version of a paper presented at the 59th IEEE Conf. Decision and Control, Jeju Island, Republic of Korea, 15-18 December 2020.).

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