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Data-driven Modelling in Dynamic Networks

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Publications

Identification in dynamic networks


Published in: ISSN 0098-1354
DOI: 10.1016/j.compchemeng.2017.10.005

Identifiability of linear dynamic networks

Author(s): Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Published in: Automatica, Issue 89, 2018, Page(s) 247-258, ISSN 0005-1098
DOI: 10.1016/j.automatica.2017.12.013

Detecting Nonlinear Modules in a Dynamic Network: A Step-by-Step Procedure

Author(s): M. Schoukens, P.M.J. Van den Hof
Published in: IFAC-PapersOnLine, Issue 51/15, 2018, Page(s) 593-597, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2018.09.224

An empirical Bayes approach to identification of modules in dynamic networks

Author(s): Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
Published in: Automatica, Issue 91, 2018, Page(s) 144-151, ISSN 0005-1098
DOI: 10.1016/j.automatica.2018.01.011

A sequential least squares algorithm for ARMAX dynamic network identification

Author(s): Harm H.M. Weerts, Miguel Galrinho, Giulio Bottegal, Håkan Hjalmarsson, Paul M.J. Van den Hof
Published in: IFAC-PapersOnLine, Issue 51/15, 2018, Page(s) 844-849, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2018.09.119

Combining Experiments for Linear Dynamic Network Identification in the Presence of Nonlinearities

Author(s): M. Schoukens, J.P. Noël, P.M.J. Van den Hof
Published in: Journal of Physics: Conference Series, Issue 1065, 2018, Page(s) 212026, ISSN 1742-6588
DOI: 10.1088/1742-6596/1065/21/212026

Prediction error identification of linear dynamic networks with rank-reduced noise

Author(s): Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Published in: Automatica, Issue 98, 2018, Page(s) 256-268, ISSN 0005-1098
DOI: 10.1016/j.automatica.2018.09.033

A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems

Author(s): Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Published in: IFAC-PapersOnLine, Issue 51/23, 2018, Page(s) 236-241, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2018.12.041

On dynamic network modeling of stationary multivariate processes

Author(s): Giulio Bottegal, Alessandro Chiuso, Paul M.J. Van den Hof
Published in: IFAC-PapersOnLine, Issue 51/15, 2018, Page(s) 850-855, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2018.09.118

On Representations of Linear Dynamic Networks

Author(s): E.M.M. Kivits, Paul M.J. Van den Hof
Published in: IFAC-PapersOnLine, Issue 51/15, 2018, Page(s) 838-843, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2018.09.120

Identification of dynamic networks with rank-reduced process noise * *This work has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).

Author(s): Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Published in: IFAC-PapersOnLine, Issue 50/1, 2017, Page(s) 10562-10567, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2017.08.1319

From closed-loop identification to dynamic networks: Generalization of the direct method

Author(s): Paul M.J. Van den Hof, Arne G. Dankers, Harm H.M. Weerts
Published in: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, Page(s) 5845-5850
DOI: 10.1109/cdc.2017.8264543

Prediction error identification with rank-reduced output noise

Author(s): Paul M.J. Van den Hof, Harm H.M. Weerts, Arne G. Dankers
Published in: 2017 American Control Conference (ACC), 2017, Page(s) 382-387
DOI: 10.23919/acc.2017.7962983

Identification in dynamic networks

Author(s): P.M.J Van den Hof, A.G. Dankers, H.H.M. Weerts
Published in: Proc. Foundations of Computer Aided Process Operations / Chemical Process Control FOCAPO/CPC 2017, 2017

Single Module Identifiability in Linear Dynamic Networks

Author(s): Harm Weerts, Paul M.J. Van den Hof, Arne Dankers
Published in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Page(s) 4725-4730
DOI: 10.1109/cdc.2018.8619365

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods

Author(s): Karthik R. Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Published in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Page(s) 4713-4718
DOI: 10.1109/cdc.2018.8619436

Bayesian topology identification of linear dynamic networks

Author(s): Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Published in: 2019 18th European Control Conference (ECC), 2019, Page(s) 2814-2819
DOI: 10.23919/ecc.2019.8795766

Bayesian topology identification of linear dynamic networks

Author(s): Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Published in: Technical Report, 2018

Abstractions of linear dynamic networks for input selection in local module identification

Author(s): Weerts, Harm H. M.; Linder, Jonas; Enqvist, Martin; Hof, Paul M. J. Van den
Published in: Technical report, Issue 2, 2019