Publications-TP

93 entries « 1 of 5 »
1.

E E M Kivits; P M J Van den Hof

Identification of diffusively coupled linear networks through structured polynomial models Journal Article

In: IEEE Trans. Automatic Control, 68 (6), pp. 3513-3528, 2023.

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2.

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

Single module identifiability in linear dynamic networks with partial excitation and measurement Journal Article

In: IEEE Trans. Automatic Control, 68 (1), pp. 285-300, 2023.

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3.

X Bombois; K Colin; P M J Van den Hof; H Hjalmarsson

On the informativity of direct identification experiments in dynamical networks Journal Article

In: Automatica, 148 (110742), 2023.

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4.

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

A necessary condition for network identifiability with partial excitation and measurement Journal Article

In: IEEE Trans. Automatic Control, 68 (11), 2023, (To appear).

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5.

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 Journal Article

In: Automatica, 142 (110370), 2022.

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6.

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 Journal Article

In: Automatica, 141 (110295), 2022.

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7.

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, 137 (110093), 2022.

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8.

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, 67 (2), pp. 592-705, 2022.

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9.

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), 6 , pp. 2192-2197, 2022.

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10.

K R Ramaswamy

A guide to learning modules in a dynamic network PhD Thesis

Eindhoven University of Technology, 2022.

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11.

Dreef H. J.; Shi S.; Cheng X.; Donkers M. C. F.; 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), 6 , pp. 2587-2592, 2022.

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12.

T R V Steentjes

Data-driven methods for distributed control of interconnected linear systems PhD Thesis

Eindhoven University of Technology, 2022.

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13.

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]).

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14.

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 Inproceedings

In: Proc. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), pp. 816-821, Bayreuth, Germany, 2022.

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15.

E M M Kivits; P M J Van den Hof

Local identification in diffusively coupled linear networks Inproceedings

In: Proc. 61th IEEE Conf. on Decision and Control (CDC), pp. 874-879, IEEE Cancun, Mexico, 2022.

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16.

J B T Meijer

Improvements for In-Circuit Testing using RLC Network Identification Masters Thesis

Eindhoven University of Technology, 2021, (MSc Graduation report).

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17.

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, 66 (11), pp. 5237-5252, 2021.

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18.

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, 129 (109591), 2021.

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19.

S Shi

Topological aspects of linear dynamic networks: identifiability and identification PhD Thesis

Eindhoven University of Technology, 2021.

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20.

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, 54-9 , pp. 66-71, 2021, (Proc. 24th Intern. Symposium MTNS, Cambridge, UK).

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93 entries « 1 of 5 »

 

93 entries « 1 of 2 »

Journal Articles

2023

E E M Kivits; P M J Van den Hof

Identification of diffusively coupled linear networks through structured polynomial models Journal Article

IEEE Trans. Automatic Control, 68 (6), pp. 3513-3528, 2023.

Links | BibTeX

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

Single module identifiability in linear dynamic networks with partial excitation and measurement Journal Article

IEEE Trans. Automatic Control, 68 (1), pp. 285-300, 2023.

Links | BibTeX

X Bombois; K Colin; P M J Van den Hof; H Hjalmarsson

On the informativity of direct identification experiments in dynamical networks Journal Article

Automatica, 148 (110742), 2023.

Links | BibTeX

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

A necessary condition for network identifiability with partial excitation and measurement Journal Article

IEEE Trans. Automatic Control, 68 (11), 2023, (To appear).

Links | BibTeX

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 Journal Article

Automatica, 142 (110370), 2022.

Links | BibTeX

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 Journal Article

Automatica, 141 (110295), 2022.

Links | BibTeX

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

Automatica, 137 (110093), 2022.

Links | BibTeX

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

Allocation of excitation signals for generic identifiability of linear dynamic networks Journal Article

IEEE Trans. Automatic Control, 67 (2), pp. 592-705, 2022.

Links | BibTeX

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

IEEE Control Systems Letters (L-CSS), 6 , pp. 2192-2197, 2022.

Links | BibTeX

Dreef H. J.; Shi S.; Cheng X.; Donkers M. C. F.; P M J Van den Hof

Excitation allocation for generic identifiability of linear dynamic networks with fixed modules Journal Article

IEEE Control Systems Letters (L-CSS), 6 , pp. 2587-2592, 2022.

Links | BibTeX

2021

K R Ramaswamy; P M J Van den Hof

A local direct method for module identification in dynamic networks with correlated noise Journal Article

IEEE Trans. Automatic Control, 66 (11), pp. 5237-5252, 2021.

Links | BibTeX

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

Automatica, 129 (109591), 2021.

Links | BibTeX

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

IFAC-PapersOnLine, 54-9 , pp. 66-71, 2021, (Proc. 24th Intern. Symposium MTNS, Cambridge, UK).

Links | BibTeX

H J Dreef; M C F Donkers; P M J Van den Hof

Identifiability of linear dynamic networks through switching modules Journal Article

IFAC-PapersOnLine, 54-7 , pp. 37-42, 2021, (Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control).

Links | BibTeX

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 Journal Article

IFAC-PapersOnLine, 54-7 , pp. 204-209, 2021, (Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control).

Links | BibTeX

P M J Van den Hof; K R Ramaswamy

Learning local models in dynamic networks Journal Article

Proc. Machine Learning Research, 144 , pp. 176-188, 2021.

Links | BibTeX

2020

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 Journal Article

Computers in Biology and Medicine, 2020.

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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

Automatica, 117 (108975), 2020.

Links | BibTeX

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

IFAC-PapersOnLine, 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

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

Links | BibTeX

Inproceedings

2022

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 Inproceedings

Proc. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), pp. 816-821, Bayreuth, Germany, 2022.

Links | BibTeX

E M M Kivits; P M J Van den Hof

Local identification in diffusively coupled linear networks Inproceedings

Proc. 61th IEEE Conf. on Decision and Control (CDC), pp. 874-879, IEEE Cancun, Mexico, 2022.

Links | BibTeX

2021

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 Inproceedings

Proc. 60th IEEE Conf. on Decision and Control (CDC), pp. 3723-3728, IEEE Austin, Texas, 2021.

Links | BibTeX

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

Learning local modules in dynamic networks without prior topology information Inproceedings

Proc. 60th IEEE Conf. on Decision and Control (CDC), pp. 840-845, IEEE Austin, Texas, 2021.

Links | BibTeX

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 Inproceedings

Prepr. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control, pp. 264-267, Padova, Italy, 2021, (Extended abstract).

Links | BibTeX

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 Inproceedings

Proc. 2021 European Control Conference, pp. 2358-2363, IEEE Rotterdam, The Netherlands, 2021.

Links | BibTeX

2020

P M J Van den Hof; K R Ramaswamy

Single module identification in dynamic networks - the current status Inproceedings

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

Links | BibTeX

P M J Van den Hof; K R Ramaswamy

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

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

Links | BibTeX

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

Data-driven distributed control via virtual reference feedback tuning Inproceedings

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

Links | BibTeX

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 Inproceedings

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

Links | BibTeX

2019

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

Bayesian topology identification of linear dynamic networks Inproceedings

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

Links | BibTeX

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

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

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 Inproceedings

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

Links | BibTeX

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

Allocation of excitation signals for generic identifiability of dynamic networks Inproceedings

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

Links | BibTeX

E M M Kivits; P M J Van den Hof

A dynamic network approach to identification of physical systems Inproceedings

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

Links | BibTeX

PhD Theses

2022

K R Ramaswamy

A guide to learning modules in a dynamic network PhD Thesis

Eindhoven University of Technology, 2022.

Links | BibTeX

T R V Steentjes

Data-driven methods for distributed control of interconnected linear systems PhD Thesis

Eindhoven University of Technology, 2022.

Links | BibTeX

2021

S Shi

Topological aspects of linear dynamic networks: identifiability and identification PhD Thesis

Eindhoven University of Technology, 2021.

Links | BibTeX

Technical Reports

2022

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 | BibTeX

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).

Links | BibTeX

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. ).

Links | BibTeX

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

Scalable distributed and decentralized H_2 controller synthesis for interconnected linear discrete-time systems Technical Report

2020, (ArXiv:2001.04875 [cs.sY]. Extended version of paper accepted for MTNS 2020.).

Links | BibTeX

Conferences

2021

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

Identifiability in dynamic acyclic networks with partial excitation and measurement Conference

Prepr. 2021 European Control Conference, IEEE Rotterdam, The Netherlands, 2021, (Extended abstract).

Links | BibTeX

Masters Theses

2021

J B T Meijer

Improvements for In-Circuit Testing using RLC Network Identification Masters Thesis

Eindhoven University of Technology, 2021, (MSc Graduation report).

Links | BibTeX

Anupama

Data-driven modelling and decentralized H_2 control of power networks Masters Thesis

Eindhoven University of Technology, 2021, (MSc Graduation report).

Links | BibTeX

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).

Links | BibTeX

R van Esch

Topology detection in brain networks Masters Thesis

Eindhoven University of Technology, 2019.

Links | BibTeX

X Chen

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

Eindhoven University of Technology, 2019.

Links | BibTeX

93 entries « 1 of 2 »