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2026
P M J Van den Hof, S Shi, S J M Fonken, K R Ramaswamy, H Hjalmarsson, A G Dankers: Data-informativity conditions for structured linear systems with implications for dynamic networks. In: Automatica, vol. 191, no. 113110, 2026. (Type: Journal Article | Links)

2025
X Cheng, S Shi, I Lestas, P M J Van den Hof: Identifiability in dynamic acyclic networks with partial excitations and measurements. In: IEEE Trans. Automatic Control, vol. 70, no. 4, pp. 2305-2320, 2025. (Type: Journal Article | Links)

2024
L F M Rodrigues, G H C Oliveira, L P R K Ihlenfeld, R Schumacher, P M J Van den Hof: Frequency domain identification of passive local modules in linear dynamic networks. In: Systems & Control Letters, vol. 193, no. 105937, 2024. (Type: Journal Article | Links)
Y Shi, S J M Fonken, P M J Van den Hof: Fault detection and diagnosis using the dynamic network framework. In: IFAC-PapersOnLine, vol. 56-2, pp. 384-389, 2024, (Proc. 20th IFAC Symp. System Identification, 17-18 July 2024, Boston, MA, USA). (Type: Journal Article | Links)
P M J Van den Hof, S Shi, H H M Weerts, X Cheng, K R Ramaswamy, A G Dankers, H J DReef, S J M Fonken, T R V Steentjes, J B T Meijer: SYSDYNET - A MATLAB app and toolbox for dynamic network identification. In: IFAC-PapersOnLine, vol. 56-2, pp. 574-579, 2024, (Proc. 20th IFAC Symp. System Identification, 17-18 July 2024, Boston, MA, USA). (Type: Journal Article | Links)

2023
M Lazar T R V Steentjes, P M J Van den Hof: On a canonical distributed controller in the behavioral framework. In: Systems & Control Letters, vol. 179, no. 105581, 2023. (Type: Journal Article | Links)
E E M Kivits, P M J Van den Hof: Identification of diffusively coupled linear networks through structured polynomial models. In: IEEE Trans. Automatic Control, vol. 68, no. 6, pp. 3513-3528, 2023. (Type: Journal Article | Links)
S Shi, X Cheng, P M J Van den Hof: Single module identifiability in linear dynamic networks with partial excitation and measurement. In: IEEE Trans. Automatic Control, vol. 68, no. 1, pp. 285-300, 2023. (Type: Journal Article | Links)
X Bombois, K Colin, P M J Van den Hof, H Hjalmarsson: On the informativity of direct identification experiments in dynamical networks. In: Automatica, vol. 148, no. 110742, 2023. (Type: Journal Article | Links)
X Cheng, S Shi, I Lestas, P M J Van den Hof: A necessary condition for network identifiability with partial excitation and measurement. In: IEEE Trans. Automatic Control, vol. 68, no. 11, pp. 6820-6827, 2023. (Type: Journal Article | Links)
Eindhoven University of Technology Control Systems Group: SYSDYNET Toolbox for MATLAB, Version Beta 0.2.0. In: 2023. (Type: Journal Article | Links)
P M J Van den Hof, K R Ramaswamy, S J M Fonken: Integrating data-informativity conditions in predictor models for single module identification in dynamic networks. In: IFAC-PapersOnLine, vol. 56-2, pp. 2377-2382, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). (Type: Journal Article | Links)
S Shi, X Cheng, B De Schutter, P M J Van den Hof: Signal selection for local module identification in linear dynamic networks: A graphical approach. In: IFAC-PapersOnLine, vol. 56-2, pp. 2407-2412, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). (Type: Journal Article | Links)
E M M Kivits, P M J Van den Hof: Identifiability of diffusively coupled linear networks with partial instrumentation. In: IFAC-PapersOnLine, vol. 56-2, pp. 2395-2400, 2023, (Proc. 22nd IFAC World Congress, 9-14 July, 2023, Yokohama, Japan). (Type: Journal Article | Links)

2022
J Schoukens P Z Csurcsia K R Ramaswamy, P M J Van den Hof: A frequency domain approach for local module identification in dynamic networks. In: Automatica, vol. 142, no. 110370, 2022. (Type: Journal Article | Links)
K R Ramaswamy S J M Fonken, P M J Van den Hof: A scalable multi-step least squares method for network identification with unknown disturbance topology. In: Automatica, vol. 141, no. 110295, 2022. (Type: Journal Article | Links)
S Shi, X Cheng, P M J Van den Hof: Generic identifiability of subnetworks in a linear dynamic network: the full measurement case. In: Automatica, vol. 137, no. 110093, 2022. (Type: Journal Article | Links)
X Cheng, S Shi, P M J Van den Hof: Allocation of excitation signals for generic identifiability of linear dynamic networks. In: IEEE Trans. Automatic Control, vol. 67, no. 2, pp. 592-705, 2022. (Type: Journal Article | Links)
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. In: IEEE Control Systems Letters (L-CSS), vol. 6, pp. 2192-2197, 2022. (Type: Journal Article | Links)
X. Cheng S Shi H J Dreef, P M J Van den Hof: Excitation allocation for generic identifiability of linear dynamic networks with fixed modules. In: IEEE Control Systems Letters (L-CSS), vol. 6, pp. 2587-2592, 2022. (Type: Journal Article | Links)

2021
K R Ramaswamy, P M J Van den Hof: A local direct method for module identification in dynamic networks with correlated noise. In: IEEE Trans. Automatic Control, vol. 66, no. 11, pp. 5237-5252, 2021. (Type: Journal Article | Links)
K R Ramaswamy, G Bottegal, P M J Van den Hof: Learning linear models in a dynamic network using regularized kernel-based methods. In: Automatica, vol. 129, no. 109591, 2021. (Type: Journal Article | Links)
T R V Steentjes, M Lazar, P M J Van den Hof: Scalable distributed H2 controller synthesis for interconnected linear discrete-time systems. In: IFAC-PapersOnLine, vol. 54-9, pp. 66-71, 2021, (Proc. 24th Intern. Symposium MTNS, Cambridge, UK). (Type: Journal Article | Links)
H J Dreef, M C F Donkers, P M J Van den Hof: Identifiability of linear dynamic networks through switching modules. In: IFAC-PapersOnLine, vol. 54-7, pp. 37-42, 2021, (Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control). (Type: Journal Article | Links)
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. In: IFAC-PapersOnLine, vol. 54-7, pp. 204-209, 2021, (Proc. 19th IFAC Symposium on System Identification - Learning Models for Decision and Control). (Type: Journal Article | Links)
P M J Van den Hof, K R Ramaswamy: Learning local models in dynamic networks. In: Proc. Machine Learning Research, vol. 144, pp. 176-188, 2021. (Type: Journal Article | Links)

2020
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. In: Computers in Biology and Medicine, 2020. (Type: Journal Article | Links)
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. In: Automatica, vol. 117, no. 108975, 2020. (Type: Journal Article | Links)
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. In: IFAC-PapersOnLine, vol. 53-2, pp. 40-45, 2020, (Proc. 21st IFAC World Congress, Berlin, Germany). (Type: Journal Article | Links)
S Fonken, M Ferizbegovic, H Hjalmarsson: Consistent identification of dynamic networks subject to white noise using weighted null-space fitting. In: IFAC-PapersOnLine, vol. 53-2, pp. 46-51, 2020, (Proc. 21st IFAC World Congress, Berlin, Germany). (Type: Journal Article | Links)

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. In: Automatica, vol. 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. In: Automatica, vol. 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. In: Automatica, vol. 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. In: Computers & Chemical Engineering, vol. 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. In: IFAC-PapersOnLine, vol. 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. In: IFAC-PapersOnLine, vol. 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. In: IFAC-PapersOnLine, vol. 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. In: IFAC-PapersOnLine, vol. 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. In: IFAC-PapersOnLine, vol. 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. In: IFAC-PapersOnLine, vol. 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: Conditions for handling confounding variables in dynamic networks. In: IFAC-PapersOnLine, vol. 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. In: IEEE Trans. on Automatic Control, vol. 61, no. 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. In: IFAC-PapersOnLine, vol. 49, no. 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. In: Automatica, vol. 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. In: IFAC-PapersOnLine, vol. 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. In: Automatica, vol. 49, no. 10, pp. 2994–3006, 2013. (Type: Journal Article | Links)