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113 entries « 3 of 6 »
41.

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 Proceedings Article

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

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42.

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

Learning local modules in dynamic networks without prior topology information Proceedings Article

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

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43.

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

Identifiability of linear dynamic networks through switching modules Journal Article

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

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44.

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 Proceedings Article

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

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45.

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

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

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46.

P M J Van den Hof; K R Ramaswamy

Learning local models in dynamic networks Journal Article

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

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47.

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).

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48.

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 Proceedings Article

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

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49.

Anupama

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

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

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50.

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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51.

R J C 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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52.

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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53.

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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54.

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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55.

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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56.

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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57.

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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58.

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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59.

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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60.

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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113 entries « 3 of 6 »
113 entries « 3 of 3 »

Technical Reports

2016

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

Identifiability of Dynamic Networks with part of the nodes noise-free Technical Report

Eindhoven University of Technology 2016.

Links | BibTeX

2015

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

Identifiability in dynamic network identification Technical Report

Eindhoven University of Technology 2015.

Links | BibTeX

Journal Articles

2015

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

Errors-in-variables identification in dynamic networks mbox– Consistency results for an instrumental variable approach Journal Article

In: Automatica, vol. 62, pp. 39–50, 2015.

Links | BibTeX

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

Identifiability in dynamic network identification Journal Article

In: IFAC-PapersOnLine, vol. 48-28, pp. 1409–1414, 2015, (Proc. 17th IFAC Symposium on System Identification, Beijing, China).

Links | BibTeX

2013

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

Identification of dynamic models in complex networks with prediction error methods - basic methods for consistent module estimates Journal Article

In: Automatica, vol. 49, no. 10, pp. 2994–3006, 2013.

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Proceedings Articles

2015

A G Dankers; P M J Van den Hof

Non-parametric identification in dynamic networks Proceedings Article

In: Proc. 54th IEEE Conf. on Decision and Control (CDC), pp. 3487-3492, IEEE Osaka, Japan, 2015.

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2014

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

Errors-in-variables identification in dynamic networks Proceedings Article

In: Proc. of the 19th IFAC World Congress, pp. 2335-2340, 2014.

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B Günes; A G Dankers; P M J Van den Hof

Variance reduction for identification in dynamic networks Proceedings Article

In: Proc. of the 19th IFAC World Congress, pp. 2842-2847, 2014.

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

Direct and indirect continuous-time identification in dynamic networks Proceedings Article

In: Proc. 53rd IEEE Conf. on Decision and Control (CDC), pp. 3334-3339, IEEE Los Angeles, CA, USA, 2014.

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2013

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

Predictor input selection for two-stage identification in dynamic networks Proceedings Article

In: Proc. 2013 European Control Conference (ECC), pp. 1422-1427, 2013.

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

Predictor input selection for direct identification in dynamic networks Proceedings Article

In: Proc. 52nd IEEE Conf. on Decision and Control (CDC), pp. 4541–4546, IEEE 2013.

Links | BibTeX

2012

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

Dynamic network structure identification with prediction error methods - basic examples Proceedings Article

In: J Schoukens; R Bitmead (Ed.): Proc. 16th IFAC Symposium on System Identification, Brussels, Belgium, pp. 876-881, 2012.

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PhD Theses

2014

A G Dankers

System identification in dynamic networks PhD Thesis

Delft University of Technology, 2014.

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113 entries « 3 of 3 »