Journal papers

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. Automatica, 98 , pp. 256-268, 2018. (Type: Journal Article | Links)
N Everitt, G Bottegal, H Hjalmarsson: An emperical Bayes approach to identification of modules in dynamic networks. Automatica, 91 , pp. 144-151, 2018. (Type: Journal Article | Links)
H H M Weerts, P M J Van den Hof, A G Dankers: Identifiability of linear dynamic networks. Automatica, 89 , pp. 247-258, 2018. (Type: Journal Article | Links)
P M J Van den Hof, A G Dankers, Weerts H H M: Identification in dynamic networks. Computers & Chemical Engineering, 109 , pp. 23-29, 2018. (Type: Journal Article | Links)
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. IFAC-PapersOnLine, 51-15 , pp. 844-849, 2018, (Proc. 18th IFAC Symp. System Identification). (Type: Journal Article | Links)
G Bottegal, A Chiuso, P M J Van den Hof: On dynamic network modeling of stationary multivariate processes. IFAC-PapersOnLine, 51-15 , pp. 850-861, 2018, (Proc. 18th IFAC Symp. System Identification). (Type: Journal Article | Links)
E M M Kivits, P M J Van den Hof: On representations of linear dynamic networks. IFAC-PapersOnLine, 51-15 , pp. 838-843, 2018, (Proc. 18th IFAC Symp. System Identification). (Type: Journal Article | Links)
M Schoukens, P M J Van den Hof: Detecting nonlinear modules in a dynamic network: a step-by-step procedure. IFAC-PapersOnLine, 51-15 , pp. 593-597, 2018, (Proc. 18th IFAC Symp. System Identification). (Type: Journal Article | Links)
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. IFAC-PapersOnLine, 51-23 , pp. 236-241, 2018, (Proc. 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems). (Type: Journal Article | Links)

2017

H H M Weerts, P M J Van den Hof, A G Dankers: Identification of dynamic networks with rank-reduced process noise. IFAC-PapersOnLine, 50-1 , pp. 10562-10567, 2017, (Proc. 20th IFAC World Congress). (Type: Journal Article | Links)
A G Dankers, P M J Van den Hof, D Materassi, H H M Weerts: Relaxed predictor input selection rules for handling confounding variables in dynamic networks. IFAC-PapersOnLine, 50-1 , pp. 3983-3988, 2017, (Proc. 20th IFAC World Congress). (Type: Journal Article | Links)

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. IEEE Trans. on Automatic Control, 61 (4), pp. 937–952, 2016. (Type: Journal Article | Links)
H H M Weerts, P M J Van den Hof, A G Dankers: Identifiability of dynamic networks with part of the nodes noise-free. IFAC-PapersOnLine, 49 (13), pp. 19-24, 2016, (Proc. 12th IFAC Workshop ALCOSP, Eindhoven, the Netherlands.). (Type: Journal Article | Links)

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. Automatica, 62 , pp. 39–50, 2015. (Type: Journal Article | Links)
H H M Weerts, A G Dankers, P M J Van den Hof: Identifiability in dynamic network identification. IFAC-PapersOnLine, 48-28 , pp. 1409–1414, 2015, (Proc. 17th IFAC Symposium on System Identification, Beijing, China). (Type: Journal Article | Links)

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. Automatica, 49 (10), pp. 2994–3006, 2013. (Type: Journal Article | Links)