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Data-driven Modelling in Dynamic Networks

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Publications

A local direct method for module identification in dynamic networks with correlated noise

Author(s): Karthik R. Ramaswamy, Paul M.J. Vandenhof
Published in: IEEE Transactions on Automatic Control, 2019, Page(s) 1-1, ISSN 0018-9286
DOI: 10.1109/tac.2020.3035634

Excitation allocation for generic identifiability of a single module in dynamic networks: A graphic approach

Author(s): Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Published in: IFAC-PapersOnLine, Issue 53/2, 2020, Page(s) 40-45, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2020.12.042

A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect

Author(s): Rik J.C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M.J. Van den Hof
Published in: Computers in Biology and Medicine, Issue 127, 2020, Page(s) 104055, ISSN 0010-4825
DOI: 10.1016/j.compbiomed.2020.104055

Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks

Author(s): Xiaodong Cheng, Shengling Shi, Paul M.J. Van den Hof
Published in: IEEE Transactions on Automatic Control, 2019, Page(s) 1-1, ISSN 0018-9286
DOI: 10.1109/tac.2021.3053540

Learning linear modules in a dynamic network using regularized kernel-based methods

Author(s): Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Published in: Automatica, Issue 129, 2021, Page(s) 109591, ISSN 0005-1098
DOI: 10.1016/j.automatica.2021.109591

Consistent identification of dynamic networks subject to white noise using Weighted Null-Space Fitting

Author(s): Stefanie Fonken, Mina Ferizbegovic, Håkan Hjalmarsson
Published in: IFAC-PapersOnLine, Issue 53/2, 2020, Page(s) 46-51, ISSN 2405-8963
DOI: 10.1016/j.ifacol.2020.12.047

Identification in dynamic networks

Author(s): Paul M.J. Van den Hof, Arne G. Dankers, Harm H.M. Weerts
Published in: Computers & Chemical Engineering, Issue 109, 2018, Page(s) 23-29, 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

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

Author(s): Harm H.M. Weerts, Jonas Linder, Martin Enqvist, Paul M.J. Van den Hof
Published in: Automatica, Issue 117, 2020, Page(s) 108975, ISSN 0005-1098
DOI: 10.1016/j.automatica.2020.108975

Identifiability and identification methods for dynamic networks

Author(s): H H M Weerts
Published in: PhD Thesis, 2018

Learning local modules in dynamic networks without prior topology information

Author(s): V. Comandoor Rajagopal
Published in: Master Thesis, 2020

Multi-step scalable least squares method for network identification with unknown noise topology

Author(s): S.J.M. Fonken
Published in: Master Thesis, 2020

A dynamic network approach to identification of physical systems

Author(s): E.M.M. Lizan Kivits, Paul M.J. Van den Hof
Published in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Page(s) 4533-4538
DOI: 10.1109/cdc40024.2019.9030041

Path-based data-informativity conditions for single module identification in dynamic networks

Author(s): Paul M.J. Van den Hof, Karthik R. Ramaswamy
Published in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Page(s) 4354-4359
DOI: 10.1109/cdc42340.2020.9304263

A regularized kernel-based method for learning a module in a dynamic network with correlated noise

Author(s): Venkatakrishnan C. Rajagopal, Karthik R. Ramaswamy, Paul M.J. Van den Hof
Published in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Page(s) 4348-4353
DOI: 10.1109/cdc42340.2020.9303879

Generalized sensing and actuation schemes for local module identification in dynamic networks

Author(s): Karthik R. Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers
Published in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Page(s) 5519-5524
DOI: 10.1109/cdc40024.2019.9029338

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

Data-driven distributed control: Virtual reference feedback tuning in dynamic networks

Author(s): Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Published in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Page(s) 1804-1809
DOI: 10.1109/cdc42340.2020.9304099

Local module identification in dynamic networks with correlated noise: the full input case

Author(s): Paul M.J. Van den Hof, Karthik R. Ramaswamy, Arne G. Dankers, Giulio Bottegal
Published in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Page(s) 5494-5499
DOI: 10.1109/cdc40024.2019.9029448

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

Scalable distributed and decentralized H2 controller synthesis for interconnected linear discrete-time systems

Author(s): Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
Published in: Technical report, 2019