Paul M. J. Van den Hof

174 papers C 17Journal 96Unranked 61
YearRankTypeTitle / Venue / Authors
2025 — conf
A frequency-domain approach for estimating continuous-time diffusively coupled linear networks.
ECC
Desen Liang, E. M. M. Lizan Kivits, Maarten Schoukens, Paul M. J. Van den Hof
2025 J jnl
Identifiability in Dynamic Acyclic Networks With Partial Excitation and Measurement.
IEEE Trans. Autom. Control.
Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof
2024 J jnl
A frequency-domain approach for estimating continuous-time diffusively coupled linear networks.
CoRR
Desen Liang, E. M. M. Kivits, Maarten Schoukens, Paul M. J. Van den Hof
2024 J jnl
Data-informativity conditions for structured linear systems with implications for dynamic networks.
CoRR
Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers
2024 J jnl
Frequency domain identification of passive local modules in linear dynamic networks.
Syst. Control. Lett.
Lucas F. M. Rodrigues, Gustavo Henrique Costa Oliveira, Lucas P. R. K. Ihlenfeld, Ricardo Schumacher, Paul M. J. Van den Hof
2023 J jnl
A Necessary Condition for Network Identifiability With Partial Excitation and Measurement.
IEEE Trans. Autom. Control.
Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof
2023 J jnl
Identification of Diffusively Coupled Linear Networks Through Structured Polynomial Models.
IEEE Trans. Autom. Control.
E. M. M. Kivits, Paul M. J. Van den Hof
2023 — conf
Local Identification in Dynamic Networks using a Multi-Step Least Squares Method.
CDC
Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2023 J jnl
On a canonical distributed controller in the behavioral framework.
Syst. Control. Lett.
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2023 J jnl
On the informativity of direct identification experiments in dynamical networks.
Autom.
Xavier Bombois, Kévin Colin, Paul M. J. Van den Hof, Håkan Hjalmarsson
2023 J jnl
Single Module Identifiability in Linear Dynamic Networks With Partial Excitation and Measurement.
IEEE Trans. Autom. Control.
Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof
2022 J jnl
A frequency domain approach for local module identification in dynamic networks.
Autom.
Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof
2022 J jnl
A scalable multi-step least squares method for network identification with unknown disturbance topology.
Autom.
Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2022 J jnl
Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks.
IEEE Trans. Autom. Control.
Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof
2022 J jnl
Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules.
IEEE Control. Syst. Lett.
H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof
2022 J jnl
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules.
CoRR
H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof
2022 J jnl
Generic identifiability of subnetworks in a linear dynamic network: The full measurement case.
Autom.
Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof
2022 J jnl
Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2022 J jnl
Learning linear modules in a dynamic network with missing node observations.
CoRR
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
2022 — conf
Local identification in diffusively coupled linear networks.
CDC
E. M. M. Lizan Kivits, Paul M. J. Van den Hof
2022 J jnl
On Data-Driven Control: Informativity of Noisy Input-Output Data With Cross-Covariance Bounds.
IEEE Control. Syst. Lett.
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2022 J jnl
On a Canonical Distributed Controller in the Behavioral Framework.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2021 J jnl
A Local Direct Method for Module Identification in Dynamic Networks With Correlated Noise.
IEEE Trans. Autom. Control.
Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2021 J jnl
A frequency domain approach for local module identification in dynamic networks.
CoRR
Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof
2021 J jnl
A scalable multi-step least squares method for network identification with unknown disturbance topology.
CoRR
Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2021 — conf
Controller identification for data-driven model-reference distributed control.
ECC
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2021 J jnl
Guaranteed $\mathcal{H}_\infty$ performance analysis and controller synthesis for interconnected linear systems from noisy input-state data.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2021 — conf
H ∞ performance analysis and distributed controller synthesis for interconnected linear systems from noisy input-state data.
CDC
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2021 J jnl
Identification of physical networks through structured polynomial models.
CoRR
E. M. M. Kivits, Paul M. J. Van den Hof
2021 J jnl
Learning linear modules in a dynamic network using regularized kernel-based methods.
Autom.
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
2021 — conf
Learning local modules in dynamic networks without prior topology information.
CDC
Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2021 — conf
Learning local modules in dynamic networks.
L4DC
Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy
2021 J jnl
On data-driven control: informativity of noisy input-output data with cross-covariance bounds.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2020 J jnl
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect.
Comput. Biol. Medicine
Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof
2020 J jnl
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect.
CoRR
Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof
2020 — conf
A regularized kernel-based method for learning a module in a dynamic network with correlated noise.
CDC
Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2020 J jnl
Abstractions of linear dynamic networks for input selection in local module identification.
Autom.
Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof
2020 — conf
Data-driven distributed control: Virtual reference feedback tuning in dynamic networks.
CDC
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2020 J jnl
Data-driven distributed control: Virtual reference feedback tuning in dynamic networks.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2020 J jnl
Distributed $\mathscr{H}_2$ Control for Interconnected Discrete-Time Systems: A Dissipativity-based Approach.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2020 J jnl
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case.
CoRR
Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof
2020 J jnl
Learning linear modules in a dynamic network using regularized kernel-based methods.
CoRR
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
2020 — conf
Path-based data-informativity conditions for single module identification in dynamic networks.
CDC
Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy
2020 J jnl
Single module identifiability in linear dynamic networks with partial excitation and measurement.
CoRR
Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof
2019 — conf
A dynamic network approach to identification of physical systems.
CDC
E. M. M. Lizan Kivits, Paul M. J. Van den Hof
2019 J jnl
A local direct method for module identification in dynamic networks with correlated noise.
CoRR
Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof
2019 J jnl
Abstractions of linear dynamic networks for input selection in local module identification.
CoRR
Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof
2019 — conf
Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks.
CDC
Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof
2019 — conf
Bayesian topology identification of linear dynamic networks.
ECC
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
2019 J jnl
Bayesian topology identification of linear dynamic networks.
CoRR
Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof
2019 — conf
Generalized sensing and actuation schemes for local module identification in dynamic networks.
CDC
Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers
2019 — conf
Local module identification in dynamic networks with correlated noise: the full input case.
CDC
Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal
2018 J jnl
A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems.
CoRR
Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof
2018 C conf
An instrumental variable method for closed-loop identification of coreless linear motors.
ACC
Tuan T. Nguyen, Mircea Lazar, Hans Butler, Paul M. J. Van den Hof
2018 J jnl
Identifiability of linear dynamic networks.
Autom.
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2018 J jnl
Identification in dynamic networks.
Comput. Chem. Eng.
Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts
2018 — conf
Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods.
CDC
Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof
2018 J jnl
Local module identification in dynamic networks with correlated noise: the full input case.
CoRR
Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal
2018 J jnl
Local module identification in dynamic networks: do more inputs guarantee smaller variance?
CoRR
Muhammad Mohsin Siraj, Max G. Potters, Paul M. J. Van den Hof
2018 J jnl
Prediction error identification of linear dynamic networks with rank-reduced noise.
Autom.
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2018 — conf
Single Module Identifiability in Linear Dynamic Networks.
CDC
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2018 J jnl
Single module identifiability in linear dynamic networks.
CoRR
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2017 J jnl
Data-driven and model-based verification via Bayesian identification and reachability analysis.
Autom.
Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate
2017 — conf
From closed-loop identification to dynamic networks: Generalization of the direct method.
CDC
Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts
2017 J jnl
Identification in Dynamic Networks.
CoRR
Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts
2017 J jnl
Prediction error identification of linear dynamic networks with rank-reduced noise.
CoRR
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2017 C conf
Prediction error identification with rank-reduced output noise.
ACC
Paul M. J. Van den Hof, Harm H. M. Weerts, Arne G. Dankers
2017 J jnl
Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges.
Annu. Rev. Control.
Françoise Lamnabhi-Lagarrigue, Anuradha Annaswamy, Sebastian Engell, Alf J. Isaksson, Pramod P. Khargonekar, Richard M. Murray, Henk Nijmeijer, Tariq Samad, Dawn M. Tilbury, Paul M. J. Van den Hof
2016 J jnl
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.
Annu. Rev. Control.
Leyla Özkan, Xavier Bombois, Jobert H. A. Ludlage, Cristian R. Rojas, Håkan Hjalmarsson, Per Erik Modén, Michael Lundh, Ton Backx, Paul M. J. Van den Hof
2016 J jnl
Estimating parameters with pre-specified accuracies in distributed parameter systems using optimal experiment design.
Int. J. Control
Max G. Potters, Xavier Bombois, M. Mansoori, Paul M. J. Van den Hof
2016 — conf
Experiment design for formal verification via stochastic optimal control.
ECC
Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate
2016 — conf
Experiment time minimisation under parameter accuracy constraints and time-domain signal amplitude bounds.
ECC
Max G. Potters, Xavier Bombois, Paul M. J. Van den Hof
2016 J jnl
Identifiability of dynamic networks with noisy and noise-free nodes.
CoRR
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2016 J jnl
Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection.
IEEE Trans. Autom. Control.
Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger
2016 — conf
Identification of dynamic networks operating in the presence of algebraic loops.
CDC
Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers
2016 — conf
Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement.
QEST
Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof
2015 — conf
Correct-by-design output feedback of LTI systems.
CDC
Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof
2015 J jnl
Data-driven and Model-based Verification: a Bayesian Identification Approach.
CoRR
Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate
2015 — conf
Data-driven and model-based verification: A Bayesian identification approach.
CDC
Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof
2015 J jnl
Data-driven model improvement for model-based control.
Autom.
Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
2015 C conf
Data-driven property verification of grey-box systems by Bayesian experiment design.
ACC
Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate
2015 J jnl
Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach.
Autom.
Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger
2015 J jnl
Least costly closed-loop performance diagnosis and plant re-identification.
Int. J. Control
Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof
2015 — conf
Least-costly experiment design for uni-parametric linear models: An analytical approach.
ECC
Max G. Potters, Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
2015 — conf
Non-parametric identification in dynamic networks.
CDC
Arne G. Dankers, Paul M. J. Van den Hof
2015 J jnl
Observer-based correct-by-design controller synthesis.
CoRR
Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate
2015 — conf
Risk management in oil reservoir water-flooding under economic uncertainty.
CDC
Muhammad Mohsin Siraj, Paul M. J. Van den Hof, Jan Dirk Jansen
2014 — conf
Direct and indirect continuous-time identification in dynamic networks.
CDC
Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois
2014 — conf
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation.
ECC
Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof, Håkan Hjalmarsson
2013 — conf
Affine LPV modeling: An H∞ based approach.
CDC
Skander Taamallah, Xavier Bombois, Paul M. J. Van den Hof
2013 C conf
Experiment design for batch-to-batch model-based learning control.
ACC
Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
2013 J jnl
Identification of dynamic models in complex networks with prediction error methods - Basic methods for consistent module estimates.
Autom.
Paul M. J. Van den Hof, Arne G. Dankers, Peter S. C. Heuberger, Xavier Bombois
2013 — conf
Predictor input selection for direct identification in dynamic networks.
CDC
Arne G. Dankers, Paul M. J. Van den Hof, Peter S. C. Heuberger
2013 — conf
Predictor input selection for two stage identification in dynamic networks.
ECC
Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger
2012 — conf
A unified experiment design framework for detection and identification in closed-loop performance diagnosis.
CDC
Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof
2012 — conf
Batch-to-batch strategies for cooling crystallization.
CDC
Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
2012 — conf
Dynamic network identification using the direct prediction-error method.
CDC
Arne G. Dankers, Paul M. J. Van den Hof, Peter S. C. Heuberger, Xavier Bombois
2012 — conf
Identification in dynamic networks with known interconnection topology.
CDC
Paul M. J. Van den Hof, Arne G. Dankers, Peter S. C. Heuberger, Xavier Bombois
2012 C conf
Iterative Learning Control of supersaturation in batch cooling crystallization.
ACC
Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
2012 J jnl
Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework.
IEEE Trans. Control. Syst. Technol.
Ali Mesbah, Zoltán K. Nagy, Adrie E. M. Huesman, Herman J. M. Kramer, Paul M. J. Van den Hof
2012 J jnl
On the Discretization of Linear Fractional Representations of LPV Systems.
IEEE Trans. Control. Syst. Technol.
Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Matteo Corno, Paul M. J. Van den Hof
2012 C conf
Optimal control for power-off landing of a small-scale helicopter a pseudospectral approach.
ACC
Skander Taamallah, Xavier Bombois, Paul M. J. Van den Hof
2011 J jnl
A virtual closed loop method for closed loop identification.
Autom.
Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof
2011 C conf
Boundary control of two-phase fluid flow using the Laplace-space domain.
ACC
Snezana Djordjevic, Okko H. Bosgra, Paul M. J. Van den Hof
2011 — conf
Closed-loop performance diagnosis using prediction error identification.
CDC/ECC
Ali Mesbah, Xavier Bombois, Jobert H. A. Ludlage, Paul M. J. Van den Hof
2011 — conf
Informative data and identifiability in LPV-ARX prediction-error identification.
CDC/ECC
Arne G. Dankers, Roland Tóth, Peter S. C. Heuberger, Xavier Bombois, Paul M. J. Van den Hof
2011 C conf
LPV identification of high performance positioning devices.
ACC
Roland Tóth, Marc van de Wal, Peter S. C. Heuberger, Paul M. J. Van den Hof
2011 J jnl
The Behavioral Approach to Linear Parameter-Varying Systems.
IEEE Trans. Autom. Control.
Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof
2010 C conf
Boundary actuation structure of linearized two-phase flow.
ACC
Snezana Djordjevic, Okko H. Bosgra, Paul M. J. Van den Hof, Dimitri Jeltsema
2010 — conf
Integrated dynamic optimization and control in reservoir engineering using locally identified linear models.
CDC
Gijs van Essen, Amin Rezapour, Paul M. J. Van den Hof, Jan Dirk Jansen
2010 C conf
Lexicographic optimization of multiple economic objectives in oil production from petroleum reservoirs.
ACC
Gijs van Essen, Paul M. J. Van den Hof, Jan Dirk Jansen
2010 C conf
Modal actuation for high bandwidth nano-positioning.
ACC
Jan Roelf van Hulzen, Georg Schitter, Paul M. J. Van den Hof, Jan van Eijk
2010 — conf
Multivariable frequency domain identification using IV-based linear regression.
CDC
Rogier S. Blom, Paul M. J. Van den Hof
2009 — conf
A behavioral approach to LPV systems.
ECC
Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009 J jnl
Asymptotically optimal orthonormal basis functions for LPV system identification.
Autom.
Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009 — conf
Control of cavity flow based on a macroscopic observation.
ECC
Snezana Djordjevic, Paul M. J. Van den Hof, Dimitri Jeltsema, Rob van't Veen
2009 — conf
Discretization of Linear Fractional Representations of LPV systems.
CDC
Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009 — conf
Effect of model structure and signal-to-noise ratio on finite-time uncertainty bounding in prediction error identification.
CDC
Xavier Bombois, Arnold J. den Dekker, Märta Barenthin, Paul M. J. Van den Hof
2009 — conf
Load dynamics in piezoelectric actuation.
ECC
Jan Roelf van Hulzen, Georg Schitter, Paul M. J. Van den Hof, Jan van Eijk
2009 — conf
Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach.
CDC
Roland Tóth, Christian Lyzell, Martin Enqvist, Peter S. C. Heuberger, Paul M. J. Van den Hof
2009 — conf
Towards automatic control of scanning transmission electron microscopes.
CCA/ISIC
Arturo Tejada, Saartje W. van der Hoeven, Arnold J. den Dekker, Paul M. J. Van den Hof
2008 — conf
Flexible model structures for LPV identification with static scheduling dependency.
CDC
Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2008 J jnl
Validity of the standard cross-correlation test for model structure validation.
Autom.
Sippe G. Douma, Xavier Bombois, Paul M. J. Van den Hof
2008 — conf
Virtual closed loop identification: A generalized tool for identification in closed loop.
CDC
Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof
2007 J jnl
Closed-loop identification of multivariable processes with part of the inputs controlled.
Int. J. Control
Martijn Leskens, Paul M. J. Van den Hof
2007 — conf
LPV system identification with globally fixed orthonormal basis functions.
CDC
Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2006 J jnl
A Unified Transform for LTI Systems - Presented as a (Generalized) Frame.
EURASIP J. Adv. Signal Process.
Arie Feuer, Paul M. J. Van den Hof, Peter S. C. Heuberger
2006 J jnl
Least costly identification experiment for control.
Autom.
Xavier Bombois, Gérard Scorletti, Michel Gevers, Paul M. J. Van den Hof, Roland Hildebrand
2006 — conf
Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach.
CDC
Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof
2006 C conf
Probabilistic uncertainty bounding in output error models with unmodelled dynamics.
ACC
Sippe G. Douma, Paul M. J. Van den Hof
2005 — conf
Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models.
CDC/ECC
Robert Bos, Xavier Bombois, Paul M. J. Van den Hof
2005 — conf
An Alternative Paradigm for Probabilistic Uncertainty Bounding in Prediction Error Identification.
CDC/ECC
Sippe G. Douma, Paul M. J. Van den Hof
2005 J jnl
Instrumental variable methods for closed-loop system identification.
Autom.
Marion Gilson, Paul M. J. Van den Hof
2005 J jnl
Introduction to the special issue on data-based modelling and system identification.
Autom.
Torsten Söderström, Paul M. J. Van den Hof, Bo Wahlberg, Siep Weiland
2005 J jnl
Relations between uncertainty structures in identification for robust control.
Autom.
Sippe G. Douma, Paul M. J. Van den Hof
2004 C conf
Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations.
ACC
Robert Bos, Xavier Bombois, Paul M. J. Van den Hof
2004 C conf
Closed-loop identification of multivariable processes with part of the inputs controlled.
ACC
Martijn Leskens, Paul M. J. Van den Hof
2004 C conf
Instrumental variable methods for continuous-time model identification in closed-loop.
ACC
Marion Gilson, Hugues Garnier, Paul M. J. Van den Hof
2004 C conf
Least costly identification experiment for control. A solution based on a high-order model approximation.
ACC
Xavier Bombois, Gérard Scorletti, Paul M. J. Van den Hof, Michel Gevers
2003 J jnl
Call for papers for an Automatica Special Issue on Data-based modelling and system identification.
Autom.
Paul M. J. Van den Hof
2003 J jnl
Controller tuning freedom under plant identification uncertainty: double Youla beats gap in robust stability.
Autom.
Sippe G. Douma, Paul M. J. Van den Hof, Okko H. Bosgra
2003 J jnl
Orthonormal Basis Functions in Time and Frequency Domain: Hambo Transform Theory.
SIAM J. Control. Optim.
Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof, Bo Wahlberg
2002 J jnl
Minimal partial realization from generalized orthonormal basis function expansions.
Autom.
Thomas J. de Hoog, Zoltán Szabó, Peter S. C. Heuberger, Paul M. J. Van den Hof, Jozsef Bokor
2002 — conf
On the choice of uncertainty structure in identification for robust control.
CDC
Sippe G. Douma, Paul M. J. Van den Hof
2001 J jnl
Asymptotic variance expressions for closed-loop identification.
Autom.
Michel Gevers, Lennart Ljung, Paul M. J. Van den Hof
2001 — conf
Closed-loop system identification via a tailor-made IV method.
CDC
Paul M. J. Van den Hof, Marion Gilson
2001 C conf
Controller tuning freedom under plant identification uncertainty: double Youla beats gap in robust stability.
ACC
Sippe G. Douma, Paul M. J. Van den Hof, Okko H. Bosgra
2001 — conf
Minimal partial realization from orthonormal basis function expansions.
CDC
Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof, Zoltán Szabó, Jozsef Bokor
2001 J jnl
Multivariable feedback relevant system identification of a wafer stepper system.
IEEE Trans. Control. Syst. Technol.
Raymond A. de Callafon, Paul M. J. Van den Hof
2001 — conf
New insights in closed-loop identification with bias-eliminated least-squares (BELS).
ECC
Marion Gilson, Paul M. J. Van den Hof
2001 J jnl
On the relation between a bias-eliminated least-squares (BELS) and an IV estimator in closed-loop identification.
Autom.
Marion Gilson, Paul M. J. Van den Hof
2001 J jnl
Pieter Eykhoff, 1929-2000.
Autom.
Pedro Albertos, Paul M. J. Van den Hof
2000 — conf
A general transform theory of rational orthonormal basis function expansions.
CDC
Thomas J. de Hoog, Peter S. C. Heuberger, Paul M. J. Van den Hof
2000 J jnl
Analysis of Closed-Loop Identification with a Tailor-Made Parameterization.
Eur. J. Control
Edwin T. van Donkelaar, Paul M. J. Van den Hof
2000 J jnl
Extended Ho-Kalman algorithm for systems represented in generalized orthonormal bases.
Autom.
Zoltán Szabó, Peter S. C. Heuberger, Jozsef Bokor, Paul M. J. Van den Hof
2000 J jnl
Final comments by the Authors.
Eur. J. Control
Edwin T. van Donkelaar, Paul M. J. Van den Hof
2000 — conf
Wavelets and variance reduction in non-parametric transfer function estimation.
CDC
Sippe G. Douma, Thomas J. de Hoog, Paul M. J. Van den Hof
1999 — conf
Approximation and realization using generalized orthonormal bases.
ECC
Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof
1999 — conf
Model predictive control with generalized input parametrization.
ECC
Edwin T. van Donkelaar, Okko H. Bosgra, Paul M. J. Van den Hof
1998 J jnl
Frequency domain identification with generalized orthonormal basis functions.
IEEE Trans. Autom. Control.
Douwe K. de Vries, Paul M. J. Van den Hof
1998 J jnl
Model Set Determination and its Application to the Control of Compact Disc Players.
Eur. J. Control
T. Zhou, Hans G. M. Dötsch, Paul M. J. Van den Hof
1997 J jnl
Identification of probabilistic system uncertainty regions by explicit evaluation of bias and variance errors.
IEEE Trans. Autom. Control.
Richard G. Hakvoort, Paul M. J. Van den Hof
1996 J jnl
A unified approach to stability robustness for uncertainty descriptions based on fractional model representations.
IEEE Trans. Autom. Control.
Raymond A. de Callafon, Paul M. J. Van den Hof, Peter M. M. Bongers
1996 J jnl
Test for local structural identifiability of high-order non-linearly parametrized state space models.
Autom.
Hans G. M. Dötsch, Paul M. J. Van den Hof
1995 J jnl
A generalized orthonormal basis for linear dynamical systems.
IEEE Trans. Autom. Control.
Peter S. C. Heuberger, Paul M. J. Van den Hof, Okko H. Bosgra
1995 J jnl
Consistent parameter bounding identification for linearly parametrized model sets.
Autom.
Richard G. Hakvoort, Paul M. J. Van den Hof
1995 J jnl
Identification and control - Closed-loop issues.
Autom.
Paul M. J. Van den Hof, Ruud J. P. Schrama
1995 J jnl
Identification of Normalised Coprime Plant Factors from Closed-loop Experimental Data.
Eur. J. Control
Paul M. J. Van den Hof, Ruud J. P. Schrama, Raymond A. de Callafon, Okko H. Bosgra
1995 J jnl
Quantification of uncertainty in transfer function estimation: a mixed probabilistic-worst-case approach.
Autom.
Douwe K. de Vries, Paul M. J. Van den Hof
1995 J jnl
System identification with generalized orthonormal basis functions.
Autom.
Paul M. J. Van den Hof, Peter S. C. Heuberger, Jozsef Bokor
1994 J jnl
Approximate identification with closed-loop performance criterion and application to LQG feedback design.
Autom.
Richard G. Hakvoort, Ruud J. P. Schrama, Paul M. J. Van den Hof
1994 J jnl
Model sets and parametrizations for identification of multivariable equation error models.
Autom.
Paul M. J. Van den Hof
1993 J jnl
An indirect method for transfer function estimation from closed loop data.
Autom.
Paul M. J. Van den Hof, Ruud J. P. Schrama
1992 J jnl
Delay structure conditions for identifiability of closed loop systems.
Autom.
Paul M. J. Van den Hof, Douwe K. de Vries, Peter Schoen