Publications-TP

69 entries « 1 of 4 »
1.

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), 2022, (To appear).

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2.

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), 2021, (To appear).

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3.

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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4.

S Shi

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

Eindhoven University of Technology, 2021.

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5.

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).

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6.

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

In: Computers in Biology and Medicine, 2020.

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7.

V C Rajagopal

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

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

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8.

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, 117 (108975), 2020.

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9.

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2020, (Accepted as extended abstract in MTNS2020, but unpublished).

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10.

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

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11.

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

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12.

P M J Van den Hof; K R Ramaswamy

Single module identification in dynamic networks - the current status Inproceedings

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

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13.

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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14.

P M J Van den Hof; K R Ramaswamy

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

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

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15.

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

Data-driven distributed control via virtual reference feedback tuning Inproceedings

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

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16.

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

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

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17.

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.).

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18.

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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19.

R van Esch

Topology detection in brain networks Masters Thesis

Eindhoven University of Technology, 2019.

| Links:

20.

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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69 entries « 1 of 4 »

 

69 entries « 1 of 2 »

Journal Articles

2022

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), 2022, (To appear).

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), 2021, (To appear).

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

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.

Links | BibTeX

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).

Links | BibTeX

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

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

Automatica, 98 , pp. 256-268, 2018.

Links | BibTeX

N Everitt; G Bottegal; H Hjalmarsson

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

Automatica, 91 , pp. 144-151, 2018.

Links | BibTeX

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

Identifiability of linear dynamic networks Journal Article

Automatica, 89 , pp. 247-258, 2018.

Links | BibTeX

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

Identification in dynamic networks Journal Article

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

Links | BibTeX

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

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

Links | BibTeX

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

On dynamic network modeling of stationary multivariate processes Journal Article

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

Links | BibTeX

E M M Kivits; P M J Van den Hof

On representations of linear dynamic networks Journal Article

IFAC-PapersOnLine, 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

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

Links | BibTeX

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

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

Links | BibTeX

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

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

Links | BibTeX

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

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

Links | BibTeX

PhD Theses

2021

S Shi

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

Eindhoven University of Technology, 2021.

Links | BibTeX

2018

H H M Weerts

Identifiability and identification methods for dynamic networks PhD Thesis

Eindhoven University of Technology, 2018.

Links | BibTeX

Inproceedings

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.

Links | BibTeX

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

2018

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

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

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

Links | BibTeX

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

Single module identifiability in linear dynamic networks Inproceedings

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

Links | BibTeX

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

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

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

Links | BibTeX

2017

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

Identification in dynamic networks Inproceedings

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

Links | BibTeX

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

Prediction error identification with rank-reduced output noise Inproceedings

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

Links | BibTeX

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 Inproceedings

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

Links | BibTeX

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).

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

2018

Yang Song

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

Eindhoven University of Technology, 2018.

Links | BibTeX

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).

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

2019

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 Technical Report

Eindhoven University of Technology 2019, (arXiv:1901.00348 [cs.SY]).

Links | BibTeX

K R Ramaswamy; P M J Van den Hof

A local direct method for module identification in dynamic networks with correlated noise Technical Report

Eindhoven University of Technology 2019, (ArXiv:1908.00976 [cs.sY]).

Links | BibTeX

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

Allocation of excitation signals for generic identifiability of linear dynamic networks Technical Report

Eindhoven University of Technology 2019, (ArXiv:1910.04525 [math.OC]).

Links | BibTeX

2018

M M Siraj; M G Potters; P M J Van den Hof

Local module identification in dynamic networks: do more inputs guarantee smaller variance? Technical Report

Eindhoven University of Technology 2018, (arXiv:1804.10389 [cs.SY]).

Links | BibTeX

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 Technical Report

Eindhoven University of Technology 2018, (arXiv:1809.07502 [cs.SY], submitted to ACC 2019).

Links | BibTeX

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

Bayesian topology identification of linear dynamic networks Technical Report

Eindhoven University of Technology 2018, (submitted to ECC 2019).

Links | BibTeX

69 entries « 1 of 2 »