Data-driven Modelling in Dynamic Networks

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

Autorzy: Karthik R. Ramaswamy, Paul M.J. Vandenhof
Opublikowane w: IEEE Transactions on Automatic Control, 2019, Strona(/y) 1-1, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2020.3035634

Identification of diffusively coupled linear networks through structured polynomial models

Autorzy: E.M.M. Kivits, Paul M.J. Van den Hof
Opublikowane w: IEEE Transactions on Automatic Control, Numer 00189286, 2023, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2022.3191406

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

Autorzy: Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 53/2, 2020, Strona(/y) 40-45, ISSN 2405-8963
Wydawca: IFAC
DOI: 10.1016/j.ifacol.2020.12.042

A frequency domain approach for local module identification in dynamic networks

Autorzy: Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M.J.Van den Hof
Opublikowane w: Automatica, Numer 00051098, 2022, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110370

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

Autorzy: Rik J.C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M.J. Van den Hof
Opublikowane w: Computers in Biology and Medicine, Numer 127, 2020, Strona(/y) 104055, ISSN 0010-4825
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2020.104055

Generic identifiability of subnetworks in a linear dynamic network: The full measurement case

Autorzy: Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Opublikowane w: Automatica, Numer 00051098, 2022, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2021.110093

On Data-Driven Control: Informativity of Noisy Input-Output Data With Cross-Covariance Bounds

Autorzy: Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
Opublikowane w: IEEE Control Systems Letters, Numer 24751456, 2022, Strona(/y) 2192 - 2197, ISSN 2475-1456
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/lcsys.2021.3139526

Identifiability of linear dynamic networks through switching modules

Autorzy: H.J. Dreef, M.C.F. Donkers, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 24058963, 2021, Strona(/y) 37-42, ISSN 2405-8963
Wydawca: Elsevier B.V.
DOI: 10.1016/j.ifacol.2021.08.331

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

Autorzy: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 24058963, 2021, Strona(/y) 66-71, ISSN 2405-8963
Wydawca: Elsevier B.V.
DOI: 10.1016/j.ifacol.2021.06.178

Learning linear modules in a dynamic network with missing node observations

Autorzy: Karthik R. Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Opublikowane w: Automatica, Numer 00051098, 2022, Strona(/y) 1-16, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.48550/arxiv.2208.10995

Single module identifiability in linear dynamic networks with partial excitation and measurement

Autorzy: Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Opublikowane w: IEEE Transactions Automatic Control, Numer 00189286, 2023, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2021.3137787

Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks

Autorzy: Xiaodong Cheng, Shengling Shi, Paul M.J. Van den Hof
Opublikowane w: IEEE Transactions on Automatic Control, 2019, Strona(/y) 1-1, ISSN 0018-9286
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2021.3053540

Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules

Autorzy: H.J. Dreef, Shengling Shi, Xiaodong Cheng, M.C.F. Donkers, Paul M.J. Van den Hof
Opublikowane w: IEEE Control Systems Letters, Numer 24751456, 2022, Strona(/y) 2587-2592, ISSN 2475-1456
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/lcsys.2022.3171172

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

Autorzy: Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Opublikowane w: Automatica, Numer 129, 2021, Strona(/y) 109591, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2021.109591

Handling unmeasured disturbances in data-driven distributed control with virtual reference feedback tuning

Autorzy: Tom R.V. Steentjes, Paul M.J. Van den Hof, Mircea Lazar
Opublikowane w: IFAC-PapersOnLine, Numer 24058963, 2021, Strona(/y) 204-209, ISSN 2405-8963
Wydawca: Elsevier B.V.
DOI: 10.1016/j.ifacol.2021.08.359

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

Autorzy: Stefanie Fonken, Mina Ferizbegovic, Håkan Hjalmarsson
Opublikowane w: IFAC-PapersOnLine, Numer 53/2, 2020, Strona(/y) 46-51, ISSN 2405-8963
Wydawca: IFAC
DOI: 10.1016/j.ifacol.2020.12.047

Identification in dynamic networks

Autorzy: Paul M.J. Van den Hof, Arne G. Dankers, Harm H.M. Weerts
Opublikowane w: Computers & Chemical Engineering, Numer 109, 2018, Strona(/y) 23-29, ISSN 0098-1354
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2017.10.005

Identifiability of linear dynamic networks

Autorzy: Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Opublikowane w: Automatica, Numer 89, 2018, Strona(/y) 247-258, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2017.12.013

Conditions for handling confounding variables in dynamic networks * *The work of A. Dankers is supported by Mitacs of Canada. The work of P. Van den Hof and H. Weerts is supported by the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).

Autorzy: Arne Dankers, Paul M.J. Van den Hof, Donatello Materassi, Harm H.M. Weerts
Opublikowane w: IFAC-PapersOnLine, Numer 50/1, 2017, Strona(/y) 3983-3988, ISSN 2405-8963
Wydawca: Elsevier
DOI: 10.1016/j.ifacol.2017.08.771

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

Autorzy: M. Schoukens, P.M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 51/15, 2018, Strona(/y) 593-597, ISSN 2405-8963
Wydawca: Elsevier
DOI: 10.1016/j.ifacol.2018.09.224

An empirical Bayes approach to identification of modules in dynamic networks

Autorzy: Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
Opublikowane w: Automatica, Numer 91, 2018, Strona(/y) 144-151, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2018.01.011

A sequential least squares algorithm for ARMAX dynamic network identification

Autorzy: Harm H.M. Weerts, Miguel Galrinho, Giulio Bottegal, Håkan Hjalmarsson, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 51/15, 2018, Strona(/y) 844-849, ISSN 2405-8963
Wydawca: Elsevier
DOI: 10.1016/j.ifacol.2018.09.119

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

Autorzy: M. Schoukens, J.P. Noël, P.M.J. Van den Hof
Opublikowane w: Journal of Physics: Conference Series, Numer 1065, 2018, Strona(/y) 212026, ISSN 1742-6588
Wydawca: Institute of Physics
DOI: 10.1088/1742-6596/1065/21/212026

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

Autorzy: Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Opublikowane w: Automatica, Numer 98, 2018, Strona(/y) 256-268, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2018.09.033

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

Autorzy: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 51/23, 2018, Strona(/y) 236-241, ISSN 2405-8963
Wydawca: Elsevier
DOI: 10.1016/j.ifacol.2018.12.041

On dynamic network modeling of stationary multivariate processes

Autorzy: Giulio Bottegal, Alessandro Chiuso, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 51/15, 2018, Strona(/y) 850-855, ISSN 2405-8963
Wydawca: Elsevier
DOI: 10.1016/j.ifacol.2018.09.118

On Representations of Linear Dynamic Networks

Autorzy: E.M.M. Kivits, Paul M.J. Van den Hof
Opublikowane w: IFAC-PapersOnLine, Numer 51/15, 2018, Strona(/y) 838-843, ISSN 2405-8963
Wydawca: Elsevier
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).

Autorzy: Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Opublikowane w: IFAC-PapersOnLine, Numer 50/1, 2017, Strona(/y) 10562-10567, ISSN 2405-8963
Wydawca: Elsevier
DOI: 10.1016/j.ifacol.2017.08.1319

A scalable multi-step least squares method for network identification with unknown disturbance topology

Autorzy: Stefanie J.M.Fonken, Karthik Raghavan Ramaswamy, Paul M.J.Van den Hof
Opublikowane w: Automatica, Numer 00051098, 2022, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110295

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

Autorzy: Harm H.M. Weerts, Jonas Linder, Martin Enqvist, Paul M.J. Van den Hof
Opublikowane w: Automatica, Numer 117, 2020, Strona(/y) 108975, ISSN 0005-1098
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2020.108975

Identifiability and identification methods for dynamic networks

Autorzy: H H M Weerts
Opublikowane w: PhD Thesis, 2018
Wydawca: Eindhoven University of Technology

Learning local modules in dynamic networks without prior topology information

Autorzy: V. Comandoor Rajagopal
Opublikowane w: Master Thesis, 2020
Wydawca: Eindhoven University of Technology

Topology detection in brain networks

Autorzy: R. van Esch
Opublikowane w: Master thesis, 2019
Wydawca: Eindhoven University of Technology

System Identification of the Inertia and Natural Damping of an Interconnected control Area

Autorzy: B.J.T. Ludlage
Opublikowane w: Master thesis, 2017
Wydawca: Eindhoven University of Technology

Topology detection using Bayesian statistics

Autorzy: Răclaru Eduard-Edis
Opublikowane w: Master thesis, 2018
Wydawca: Eindhoven Unioversity of Technology

Improvements for In-Circuit Testing using RLC Network Identification

Autorzy: J.B.T. Meijer
Opublikowane w: Master thesis, 2021
Wydawca: Eindhoven University of Technology

Data-driven methods for distributed control of interconnected linear systems

Autorzy: Tom Robert Vince Steentjes
Opublikowane w: PhD thesis, 2022, ISBN 978-90-386-5528-4
Wydawca: Eindhoven University of Technology

An iterative algorithm for learning dynamic networks with correlated noise

Autorzy: V. C. Rajagopal
Opublikowane w: MSc internship report, 2019
Wydawca: Eindhoven University of Technology

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

Autorzy: S.J.M. Fonken
Opublikowane w: Master Thesis, 2020
Wydawca: Eindhoven University of Technology

Topological aspects of linear dynamic networks: identifiability and identification

Autorzy: Shengling Shi
Opublikowane w: PhD thesis, 2021, ISBN 978-90-386-5324-2
Wydawca: Eindhoven University of Technology

Identification of Continuous-time ARX-Models Subject to Missing Data

Autorzy: Yang Song
Opublikowane w: Master Thesis, 2018
Wydawca: Eindhoven University of Technology

Data-driven modelling and decentralized H2 control of power networks

Autorzy: Anupama
Opublikowane w: Master thesis, 2021
Wydawca: Eindhoven University of Technology

Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

Autorzy: X. Chen
Opublikowane w: Master Thesis, 2019
Wydawca: Eindhoven University of Technology

A guide to learning modules in a dynamic network

Autorzy: Karthik Raghavan Ramaswamy
Opublikowane w: PhD thesis, 2022, ISBN 978-90-386-5500-0
Wydawca: Eindhoven University of Technology

Learning local modules in dynamic networks without prior topology information

Autorzy: Venkatakrishnan C. Rajagopal, Karthik R. Ramaswamy, Paul M.J. Van Den Hof
Opublikowane w: 2021 60th IEEE Conference on Decision and Control (CDC), 2022, Strona(/y) 840-845, ISBN 978-1-6654-3659-5
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/cdc45484.2021.9683377

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks

Autorzy: Xiaodong Cheng, Shengling Shi, Paul M.J. Van den Hof
Opublikowane w: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019
Wydawca: IEEE
DOI: 10.1109/cdc40024.2019.9029218

H_infinity performance analysis an distributed controller synthesis for interconnected linear systems from noisy input-state data

Autorzy: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Opublikowane w: 60th IEEE Conference on Decision and Control (CDC 2021), 2022, Strona(/y) 3723-3728, ISBN 978-1-6654-3659-5
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/cdc45484.2021.9683126

Learning local modules in dynamic networks

Autorzy: Paul M.J. Van den Hof, Karthik R. Ramaswamy
Opublikowane w: Proceedings of Machine Learning Research, Numer 26403498, 2021, Strona(/y) 176-188, ISSN 2640-3498
Wydawca: Proceedings of Machine Learning Research

Identifiability in Dynamic Acyclic Networks with Partial Excitation and Measurement

Autorzy: Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof
Opublikowane w: 2021 European Control Conference, 2021
Wydawca: IEEE
DOI: 10.48550/arxiv.2201.07548

A dynamic network approach to identification of physical systems

Autorzy: E.M.M. Lizan Kivits, Paul M.J. Van den Hof
Opublikowane w: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Strona(/y) 4533-4538, ISBN 978-1-7281-1398-2
Wydawca: IEEE
DOI: 10.1109/cdc40024.2019.9030041

Data-driven distributed controller synthesis in the presence of noise: an optimal controller identification approach

Autorzy: T R V Steentjes, M Lazar, P M J Van den Hof
Opublikowane w: 2021 European Control Conference, 2021
Wydawca: IEEE
DOI: 10.23919/ecc54610.2021.9655114

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

Autorzy: Paul M.J. Van den Hof, Karthik R. Ramaswamy
Opublikowane w: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Strona(/y) 4354-4359, ISBN 978-1-7281-7447-1
Wydawca: IEEE
DOI: 10.1109/cdc42340.2020.9304263

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

Autorzy: Venkatakrishnan C. Rajagopal, Karthik R. Ramaswamy, Paul M.J. Van den Hof
Opublikowane w: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Strona(/y) 4348-4353, ISBN 978-1-7281-7447-1
Wydawca: IEEE
DOI: 10.1109/cdc42340.2020.9303879

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

Autorzy: Karthik R. Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers
Opublikowane w: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Strona(/y) 5519-5524, ISBN 978-1-7281-1398-2
Wydawca: IEEE
DOI: 10.1109/cdc40024.2019.9029338

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

Autorzy: Paul M.J. Van den Hof, Arne G. Dankers, Harm H.M. Weerts
Opublikowane w: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, Strona(/y) 5845-5850, ISBN 978-1-5090-2873-3
Wydawca: IEEE
DOI: 10.1109/cdc.2017.8264543

Prediction error identification with rank-reduced output noise

Autorzy: Paul M.J. Van den Hof, Harm H.M. Weerts, Arne G. Dankers
Opublikowane w: 2017 American Control Conference (ACC), 2017, Strona(/y) 382-387, ISBN 978-1-5090-5992-8
Wydawca: IEEE
DOI: 10.23919/acc.2017.7962983

Identification in dynamic networks

Autorzy: P.M.J Van den Hof, A.G. Dankers, H.H.M. Weerts
Opublikowane w: Proc. Foundations of Computer Aided Process Operations / Chemical Process Control FOCAPO/CPC 2017, 2017
Wydawca: FOCAPO/CPC 2017

Single Module Identifiability in Linear Dynamic Networks

Autorzy: Harm Weerts, Paul M.J. Van den Hof, Arne Dankers
Opublikowane w: 2018 IEEE Conference on Decision and Control (CDC), 2018, Strona(/y) 4725-4730, ISBN 978-1-5386-1395-5
Wydawca: IEEE
DOI: 10.1109/cdc.2018.8619365

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

Autorzy: Karthik R. Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Opublikowane w: 2018 IEEE Conference on Decision and Control (CDC), 2018, Strona(/y) 4713-4718, ISBN 978-1-5386-1395-5
Wydawca: IEEE
DOI: 10.1109/cdc.2018.8619436

Bayesian topology identification of linear dynamic networks

Autorzy: Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Opublikowane w: 2019 18th European Control Conference (ECC), 2019, Strona(/y) 2814-2819, ISBN 978-3-907144-00-8
Wydawca: IEEE
DOI: 10.23919/ecc.2019.8795766

Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds

Autorzy: T R V Steentjes, M Lazar, P M J Van den Hof
Opublikowane w: International Symposium on Mathematical Theory of Networks and Systems, 2022, Strona(/y) 816-821
Wydawca: MTNS
DOI: 10.48550/arxiv.2202.09266

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

Autorzy: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Opublikowane w: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Strona(/y) 1804-1809, ISBN 978-1-7281-7447-1
Wydawca: IEEE
DOI: 10.1109/cdc42340.2020.9304099

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

Autorzy: Paul M.J. Van den Hof, Karthik R. Ramaswamy, Arne G. Dankers, Giulio Bottegal
Opublikowane w: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Strona(/y) 5494-5499, ISBN 978-1-7281-1398-2
Wydawca: IEEE
DOI: 10.1109/cdc40024.2019.9029448

Bayesian topology identification of linear dynamic networks

Autorzy: Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Opublikowane w: Technical Report, 2018
Wydawca: Eindhoven University of Technology

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

Autorzy: Weerts, Harm H. M.; Linder, Jonas; Enqvist, Martin; Hof, Paul M. J. Van den
Opublikowane w: Technical report, Numer 2, 2019
Wydawca: Eindhoven University of Technology

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

Autorzy: Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
Opublikowane w: Technical report, 2019
Wydawca: Eindhoven University of Technology

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