Publications-TP

103 entries « 4 of 6 »
61.

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

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

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62.

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

Allocation of excitation signals for generic identifiability of dynamic networks Inproceedings

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

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63.

E M M Kivits; P M J Van den Hof

A dynamic network approach to identification of physical systems Inproceedings

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

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64.

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, 98 , pp. 256-268, 2018.

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65.

Yang Song

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

Eindhoven University of Technology, 2018.

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66.

N Everitt; G Bottegal; H Hjalmarsson

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

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

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67.

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

Identifiability of linear dynamic networks Journal Article

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

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68.

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

Identification in dynamic networks Journal Article

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

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69.

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

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70.

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

On dynamic network modeling of stationary multivariate processes Journal Article

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

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71.

E M M Kivits; P M J Van den Hof

On representations of linear dynamic networks Journal Article

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

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72.

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

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73.

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

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74.

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

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

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

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75.

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

Single module identifiability in linear dynamic networks Inproceedings

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

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76.

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

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

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

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77.

H H M Weerts

Identifiability and identification methods for dynamic networks PhD Thesis

Eindhoven University of Technology, 2018.

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78.

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]).

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79.

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).

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80.

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).

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103 entries « 4 of 6 »

 

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