Data-driven Modelling in Dynamic Networks

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

Autori: Karthik R. Ramaswamy, Paul M.J. Vandenhof
Pubblicato in: IEEE Transactions on Automatic Control, 2019, Pagina/e 1-1, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2020.3035634

Identification of diffusively coupled linear networks through structured polynomial models

Autori: E.M.M. Kivits, Paul M.J. Van den Hof
Pubblicato in: IEEE Transactions on Automatic Control, Numero 00189286, 2023, ISSN 0018-9286
Editore: 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

Autori: Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 53/2, 2020, Pagina/e 40-45, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2020.12.042

A frequency domain approach for local module identification in dynamic networks

Autori: Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M.J.Van den Hof
Pubblicato in: Automatica, Numero 00051098, 2022, ISSN 0005-1098
Editore: 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

Autori: Rik J.C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M.J. Van den Hof
Pubblicato in: Computers in Biology and Medicine, Numero 127, 2020, Pagina/e 104055, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2020.104055

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

Autori: Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Pubblicato in: Automatica, Numero 00051098, 2022, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2021.110093

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

Autori: Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
Pubblicato in: IEEE Control Systems Letters, Numero 24751456, 2022, Pagina/e 2192 - 2197, ISSN 2475-1456
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/lcsys.2021.3139526

Identifiability of linear dynamic networks through switching modules

Autori: H.J. Dreef, M.C.F. Donkers, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 24058963, 2021, Pagina/e 37-42, ISSN 2405-8963
Editore: Elsevier B.V.
DOI: 10.1016/j.ifacol.2021.08.331

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

Autori: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 24058963, 2021, Pagina/e 66-71, ISSN 2405-8963
Editore: Elsevier B.V.
DOI: 10.1016/j.ifacol.2021.06.178

Learning linear modules in a dynamic network with missing node observations

Autori: Karthik R. Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Pubblicato in: Automatica, Numero 00051098, 2022, Pagina/e 1-16, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.48550/arxiv.2208.10995

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

Autori: Shengling Shi, Xiaodong Cheng, Paul M.J. Van den Hof
Pubblicato in: IEEE Transactions Automatic Control, Numero 00189286, 2023, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2021.3137787

Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks

Autori: Xiaodong Cheng, Shengling Shi, Paul M.J. Van den Hof
Pubblicato in: IEEE Transactions on Automatic Control, 2019, Pagina/e 1-1, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2021.3053540

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

Autori: H.J. Dreef, Shengling Shi, Xiaodong Cheng, M.C.F. Donkers, Paul M.J. Van den Hof
Pubblicato in: IEEE Control Systems Letters, Numero 24751456, 2022, Pagina/e 2587-2592, ISSN 2475-1456
Editore: 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

Autori: Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Pubblicato in: Automatica, Numero 129, 2021, Pagina/e 109591, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2021.109591

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

Autori: Tom R.V. Steentjes, Paul M.J. Van den Hof, Mircea Lazar
Pubblicato in: IFAC-PapersOnLine, Numero 24058963, 2021, Pagina/e 204-209, ISSN 2405-8963
Editore: 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

Autori: Stefanie Fonken, Mina Ferizbegovic, Håkan Hjalmarsson
Pubblicato in: IFAC-PapersOnLine, Numero 53/2, 2020, Pagina/e 46-51, ISSN 2405-8963
Editore: IFAC
DOI: 10.1016/j.ifacol.2020.12.047

Identification in dynamic networks

Autori: Paul M.J. Van den Hof, Arne G. Dankers, Harm H.M. Weerts
Pubblicato in: Computers & Chemical Engineering, Numero 109, 2018, Pagina/e 23-29, ISSN 0098-1354
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compchemeng.2017.10.005

Identifiability of linear dynamic networks

Autori: Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Pubblicato in: Automatica, Numero 89, 2018, Pagina/e 247-258, ISSN 0005-1098
Editore: 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).

Autori: Arne Dankers, Paul M.J. Van den Hof, Donatello Materassi, Harm H.M. Weerts
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 3983-3988, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2017.08.771

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

Autori: M. Schoukens, P.M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 51/15, 2018, Pagina/e 593-597, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.09.224

An empirical Bayes approach to identification of modules in dynamic networks

Autori: Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson
Pubblicato in: Automatica, Numero 91, 2018, Pagina/e 144-151, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2018.01.011

A sequential least squares algorithm for ARMAX dynamic network identification

Autori: Harm H.M. Weerts, Miguel Galrinho, Giulio Bottegal, Håkan Hjalmarsson, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 51/15, 2018, Pagina/e 844-849, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.09.119

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

Autori: M. Schoukens, J.P. Noël, P.M.J. Van den Hof
Pubblicato in: Journal of Physics: Conference Series, Numero 1065, 2018, Pagina/e 212026, ISSN 1742-6588
Editore: Institute of Physics
DOI: 10.1088/1742-6596/1065/21/212026

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

Autori: Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Pubblicato in: Automatica, Numero 98, 2018, Pagina/e 256-268, ISSN 0005-1098
Editore: 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

Autori: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 51/23, 2018, Pagina/e 236-241, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.12.041

On dynamic network modeling of stationary multivariate processes

Autori: Giulio Bottegal, Alessandro Chiuso, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 51/15, 2018, Pagina/e 850-855, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2018.09.118

On Representations of Linear Dynamic Networks

Autori: E.M.M. Kivits, Paul M.J. Van den Hof
Pubblicato in: IFAC-PapersOnLine, Numero 51/15, 2018, Pagina/e 838-843, ISSN 2405-8963
Editore: 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).

Autori: Harm H.M. Weerts, Paul M.J. Van den Hof, Arne G. Dankers
Pubblicato in: IFAC-PapersOnLine, Numero 50/1, 2017, Pagina/e 10562-10567, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2017.08.1319

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

Autori: Stefanie J.M.Fonken, Karthik Raghavan Ramaswamy, Paul M.J.Van den Hof
Pubblicato in: Automatica, Numero 00051098, 2022, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110295

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

Autori: Harm H.M. Weerts, Jonas Linder, Martin Enqvist, Paul M.J. Van den Hof
Pubblicato in: Automatica, Numero 117, 2020, Pagina/e 108975, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2020.108975

Identifiability and identification methods for dynamic networks

Autori: H H M Weerts
Pubblicato in: PhD Thesis, 2018
Editore: Eindhoven University of Technology

Learning local modules in dynamic networks without prior topology information

Autori: V. Comandoor Rajagopal
Pubblicato in: Master Thesis, 2020
Editore: Eindhoven University of Technology

Topology detection in brain networks

Autori: R. van Esch
Pubblicato in: Master thesis, 2019
Editore: Eindhoven University of Technology

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

Autori: B.J.T. Ludlage
Pubblicato in: Master thesis, 2017
Editore: Eindhoven University of Technology

Topology detection using Bayesian statistics

Autori: Răclaru Eduard-Edis
Pubblicato in: Master thesis, 2018
Editore: Eindhoven Unioversity of Technology

Improvements for In-Circuit Testing using RLC Network Identification

Autori: J.B.T. Meijer
Pubblicato in: Master thesis, 2021
Editore: Eindhoven University of Technology

Data-driven methods for distributed control of interconnected linear systems

Autori: Tom Robert Vince Steentjes
Pubblicato in: PhD thesis, 2022, ISBN 978-90-386-5528-4
Editore: Eindhoven University of Technology

An iterative algorithm for learning dynamic networks with correlated noise

Autori: V. C. Rajagopal
Pubblicato in: MSc internship report, 2019
Editore: Eindhoven University of Technology

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

Autori: S.J.M. Fonken
Pubblicato in: Master Thesis, 2020
Editore: Eindhoven University of Technology

Topological aspects of linear dynamic networks: identifiability and identification

Autori: Shengling Shi
Pubblicato in: PhD thesis, 2021, ISBN 978-90-386-5324-2
Editore: Eindhoven University of Technology

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

Autori: Yang Song
Pubblicato in: Master Thesis, 2018
Editore: Eindhoven University of Technology

Data-driven modelling and decentralized H2 control of power networks

Autori: Anupama
Pubblicato in: Master thesis, 2021
Editore: Eindhoven University of Technology

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

Autori: X. Chen
Pubblicato in: Master Thesis, 2019
Editore: Eindhoven University of Technology

A guide to learning modules in a dynamic network

Autori: Karthik Raghavan Ramaswamy
Pubblicato in: PhD thesis, 2022, ISBN 978-90-386-5500-0
Editore: Eindhoven University of Technology

Learning local modules in dynamic networks without prior topology information

Autori: Venkatakrishnan C. Rajagopal, Karthik R. Ramaswamy, Paul M.J. Van Den Hof
Pubblicato in: 2021 60th IEEE Conference on Decision and Control (CDC), 2022, Pagina/e 840-845, ISBN 978-1-6654-3659-5
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/cdc45484.2021.9683377

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks

Autori: Xiaodong Cheng, Shengling Shi, Paul M.J. Van den Hof
Pubblicato in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019
Editore: IEEE
DOI: 10.1109/cdc40024.2019.9029218

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

Autori: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Pubblicato in: 60th IEEE Conference on Decision and Control (CDC 2021), 2022, Pagina/e 3723-3728, ISBN 978-1-6654-3659-5
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/cdc45484.2021.9683126

Learning local modules in dynamic networks

Autori: Paul M.J. Van den Hof, Karthik R. Ramaswamy
Pubblicato in: Proceedings of Machine Learning Research, Numero 26403498, 2021, Pagina/e 176-188, ISSN 2640-3498
Editore: Proceedings of Machine Learning Research

Identifiability in Dynamic Acyclic Networks with Partial Excitation and Measurement

Autori: Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof
Pubblicato in: 2021 European Control Conference, 2021
Editore: IEEE
DOI: 10.48550/arxiv.2201.07548

A dynamic network approach to identification of physical systems

Autori: E.M.M. Lizan Kivits, Paul M.J. Van den Hof
Pubblicato in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Pagina/e 4533-4538, ISBN 978-1-7281-1398-2
Editore: IEEE
DOI: 10.1109/cdc40024.2019.9030041

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

Autori: T R V Steentjes, M Lazar, P M J Van den Hof
Pubblicato in: 2021 European Control Conference, 2021
Editore: IEEE
DOI: 10.23919/ecc54610.2021.9655114

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

Autori: Paul M.J. Van den Hof, Karthik R. Ramaswamy
Pubblicato in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Pagina/e 4354-4359, ISBN 978-1-7281-7447-1
Editore: IEEE
DOI: 10.1109/cdc42340.2020.9304263

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

Autori: Venkatakrishnan C. Rajagopal, Karthik R. Ramaswamy, Paul M.J. Van den Hof
Pubblicato in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Pagina/e 4348-4353, ISBN 978-1-7281-7447-1
Editore: IEEE
DOI: 10.1109/cdc42340.2020.9303879

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

Autori: Karthik R. Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers
Pubblicato in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Pagina/e 5519-5524, ISBN 978-1-7281-1398-2
Editore: IEEE
DOI: 10.1109/cdc40024.2019.9029338

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

Autori: Paul M.J. Van den Hof, Arne G. Dankers, Harm H.M. Weerts
Pubblicato in: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, Pagina/e 5845-5850, ISBN 978-1-5090-2873-3
Editore: IEEE
DOI: 10.1109/cdc.2017.8264543

Prediction error identification with rank-reduced output noise

Autori: Paul M.J. Van den Hof, Harm H.M. Weerts, Arne G. Dankers
Pubblicato in: 2017 American Control Conference (ACC), 2017, Pagina/e 382-387, ISBN 978-1-5090-5992-8
Editore: IEEE
DOI: 10.23919/acc.2017.7962983

Identification in dynamic networks

Autori: P.M.J Van den Hof, A.G. Dankers, H.H.M. Weerts
Pubblicato in: Proc. Foundations of Computer Aided Process Operations / Chemical Process Control FOCAPO/CPC 2017, 2017
Editore: FOCAPO/CPC 2017

Single Module Identifiability in Linear Dynamic Networks

Autori: Harm Weerts, Paul M.J. Van den Hof, Arne Dankers
Pubblicato in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Pagina/e 4725-4730, ISBN 978-1-5386-1395-5
Editore: IEEE
DOI: 10.1109/cdc.2018.8619365

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

Autori: Karthik R. Ramaswamy, Giulio Bottegal, Paul M.J. Van den Hof
Pubblicato in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Pagina/e 4713-4718, ISBN 978-1-5386-1395-5
Editore: IEEE
DOI: 10.1109/cdc.2018.8619436

Bayesian topology identification of linear dynamic networks

Autori: Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Pubblicato in: 2019 18th European Control Conference (ECC), 2019, Pagina/e 2814-2819, ISBN 978-3-907144-00-8
Editore: IEEE
DOI: 10.23919/ecc.2019.8795766

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

Autori: T R V Steentjes, M Lazar, P M J Van den Hof
Pubblicato in: International Symposium on Mathematical Theory of Networks and Systems, 2022, Pagina/e 816-821
Editore: MTNS
DOI: 10.48550/arxiv.2202.09266

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

Autori: Tom R.V. Steentjes, Mircea Lazar, Paul M.J. Van den Hof
Pubblicato in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Pagina/e 1804-1809, ISBN 978-1-7281-7447-1
Editore: IEEE
DOI: 10.1109/cdc42340.2020.9304099

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

Autori: Paul M.J. Van den Hof, Karthik R. Ramaswamy, Arne G. Dankers, Giulio Bottegal
Pubblicato in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Pagina/e 5494-5499, ISBN 978-1-7281-1398-2
Editore: IEEE
DOI: 10.1109/cdc40024.2019.9029448

Bayesian topology identification of linear dynamic networks

Autori: Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
Pubblicato in: Technical Report, 2018
Editore: Eindhoven University of Technology

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

Autori: Weerts, Harm H. M.; Linder, Jonas; Enqvist, Martin; Hof, Paul M. J. Van den
Pubblicato in: Technical report, Numero 2, 2019
Editore: Eindhoven University of Technology

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

Autori: Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
Pubblicato in: Technical report, 2019
Editore: Eindhoven University of Technology

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