Paul M. J. Van den Hof

According to our database, Paul M. J. Van den Hof authored at least 152 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Frequency domain identification of passive local modules in linear dynamic networks.

Lucas F. M. Rodrigues, Gustavo Henrique Costa Oliveira, Lucas P. R. K. Ihlenfeld, Ricardo Schumacher, Paul M. J. Van den Hof

Syst. Control. Lett., 2024

A frequency-domain approach for estimating continuous-time diffusively coupled linear networks.

Desen Liang, E. M. M. Kivits, Maarten Schoukens, Paul M. J. Van den Hof

CoRR, 2024

Data-informativity conditions for structured linear systems with implications for dynamic networks.

Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers

CoRR, 2024

2023

A Necessary Condition for Network Identifiability With Partial Excitation and Measurement.

Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., November, 2023

On a canonical distributed controller in the behavioral framework.

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

Syst. Control. Lett., September, 2023

Identification of Diffusively Coupled Linear Networks Through Structured Polynomial Models.

E. M. M. Kivits, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., June, 2023

On the informativity of direct identification experiments in dynamical networks.

Xavier Bombois, Kévin Colin, Paul M. J. Van den Hof, Håkan Hjalmarsson

Autom., February, 2023

Single Module Identifiability in Linear Dynamic Networks With Partial Excitation and Measurement.

Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 2023

Local Identification in Dynamic Networks using a Multi-Step Least Squares Method.

Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks.

Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 2022

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

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

IEEE Control. Syst. Lett., 2022

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

H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof

IEEE Control. Syst. Lett., 2022

Learning linear modules in a dynamic network with missing node observations.

Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof

CoRR, 2022

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

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

CoRR, 2022

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

Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof

Autom., 2022

A frequency domain approach for local module identification in dynamic networks.

Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof

Autom., 2022

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

Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

Autom., 2022

Local identification in diffusively coupled linear networks.

E. M. M. Lizan Kivits, Paul M. J. Van den Hof

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Local Direct Method for Module Identification in Dynamic Networks With Correlated Noise.

Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 2021

Identification of physical networks through structured polynomial models.

E. M. M. Kivits, Paul M. J. Van den Hof

CoRR, 2021

Guaranteed $\mathcal{H}_\infty$ performance analysis and controller synthesis for interconnected linear systems from noisy input-state data.

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

CoRR, 2021

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

Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof

Autom., 2021

Learning local modules in dynamic networks.

Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Controller identification for data-driven model-reference distributed control.

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

Proceedings of the 2021 European Control Conference, 2021

H ∞ performance analysis and distributed controller synthesis for interconnected linear systems from noisy input-state data.

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning local modules in dynamic networks without prior topology information.

Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Distributed $\mathscr{H}_2$ Control for Interconnected Discrete-Time Systems: A Dissipativity-based Approach.

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

CoRR, 2020

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

Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof

Comput. Biol. Medicine, 2020

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

Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof

Autom., 2020

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

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

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

Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

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

Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Bayesian topology identification of linear dynamic networks.

Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof

Proceedings of the 17th European Control Conference, 2019

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

Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A dynamic network approach to identification of physical systems.

E. M. M. Lizan Kivits, Paul M. J. Van den Hof

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

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

Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks.

Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

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

Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof

CoRR, 2018

Local module identification in dynamic networks: do more inputs guarantee smaller variance?

Muhammad Mohsin Siraj, Max G. Potters, Paul M. J. Van den Hof

CoRR, 2018

Identification in dynamic networks.

Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts

Comput. Chem. Eng., 2018

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

Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers

Autom., 2018

Identifiability of linear dynamic networks.

Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers

Autom., 2018

Single Module Identifiability in Linear Dynamic Networks.

Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

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

Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

An instrumental variable method for closed-loop identification of coreless linear motors.

Tuan T. Nguyen, Mircea Lazar, Hans Butler, Paul M. J. Van den Hof

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Data-driven and model-based verification via Bayesian identification and reachability analysis.

Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate

Autom., 2017

Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges.

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

Annu. Rev. Control., 2017

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

Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Prediction error identification with rank-reduced output noise.

Paul M. J. Van den Hof, Harm H. M. Weerts, Arne G. Dankers

Proceedings of the 2017 American Control Conference, 2017

2016

Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection.

Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger

IEEE Trans. Autom. Control., 2016

Estimating parameters with pre-specified accuracies in distributed parameter systems using optimal experiment design.

Max G. Potters, Xavier Bombois, M. Mansoori, Paul M. J. Van den Hof

Int. J. Control, 2016

Identifiability of dynamic networks with noisy and noise-free nodes.

Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers

CoRR, 2016

Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.

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

Annu. Rev. Control., 2016

Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement.

Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof

Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016

Experiment time minimisation under parameter accuracy constraints and time-domain signal amplitude bounds.

Max G. Potters, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 15th European Control Conference, 2016

Experiment design for formal verification via stochastic optimal control.

Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate

Proceedings of the 15th European Control Conference, 2016

Identification of dynamic networks operating in the presence of algebraic loops.

Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Least costly closed-loop performance diagnosis and plant re-identification.

Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof

Int. J. Control, 2015

Observer-based correct-by-design controller synthesis.

Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate

CoRR, 2015

Data-driven model improvement for model-based control.

Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof

Autom., 2015

Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach.

Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger

Autom., 2015

Least-costly experiment design for uni-parametric linear models: An analytical approach.

Max G. Potters, Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 14th European Control Conference, 2015

Risk management in oil reservoir water-flooding under economic uncertainty.

Muhammad Mohsin Siraj, Paul M. J. Van den Hof, Jan Dirk Jansen

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data-driven and model-based verification: A Bayesian identification approach.

Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Correct-by-design output feedback of LTI systems.

Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Non-parametric identification in dynamic networks.

Arne G. Dankers, Paul M. J. Van den Hof

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data-driven property verification of grey-box systems by Bayesian experiment design.

Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate

Proceedings of the American Control Conference, 2015

2014

Experiment design for parameter estimation in nonlinear systems based on multilevel excitation.

Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof, Håkan Hjalmarsson

Proceedings of the 13th European Control Conference, 2014

Direct and indirect continuous-time identification in dynamic networks.

Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Identification of dynamic models in complex networks with prediction error methods - Basic methods for consistent module estimates.

Paul M. J. Van den Hof, Arne G. Dankers, Peter S. C. Heuberger, Xavier Bombois

Autom., 2013

Predictor input selection for two stage identification in dynamic networks.

Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger

Proceedings of the 12th European Control Conference, 2013

Affine LPV modeling: An H∞ based approach.

Skander Taamallah, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Predictor input selection for direct identification in dynamic networks.

Arne G. Dankers, Paul M. J. Van den Hof, Peter S. C. Heuberger

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Experiment design for batch-to-batch model-based learning control.

Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the American Control Conference, 2013

2012

On the Discretization of Linear Fractional Representations of LPV Systems.

Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Matteo Corno, Paul M. J. Van den Hof

IEEE Trans. Control. Syst. Technol., 2012

Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework.

Ali Mesbah, Zoltán K. Nagy, Adrie E. M. Huesman, Herman J. M. Kramer, Paul M. J. Van den Hof

IEEE Trans. Control. Syst. Technol., 2012

A unified experiment design framework for detection and identification in closed-loop performance diagnosis.

Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Identification in dynamic networks with known interconnection topology.

Paul M. J. Van den Hof, Arne G. Dankers, Peter S. C. Heuberger, Xavier Bombois

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Batch-to-batch strategies for cooling crystallization.

Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Dynamic network identification using the direct prediction-error method.

Arne G. Dankers, Paul M. J. Van den Hof, Peter S. C. Heuberger, Xavier Bombois

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Optimal control for power-off landing of a small-scale helicopter a pseudospectral approach.

Skander Taamallah, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the American Control Conference, 2012

Iterative Learning Control of supersaturation in batch cooling crystallization.

Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the American Control Conference, 2012

2011

The Behavioral Approach to Linear Parameter-Varying Systems.

Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 2011

A virtual closed loop method for closed loop identification.

Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof

Autom., 2011

Closed-loop performance diagnosis using prediction error identification.

Ali Mesbah, Xavier Bombois, Jobert H. A. Ludlage, Paul M. J. Van den Hof

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Informative data and identifiability in LPV-ARX prediction-error identification.

Arne G. Dankers, Roland Tóth, Peter S. C. Heuberger, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

LPV identification of high performance positioning devices.

Roland Tóth, Marc van de Wal, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the American Control Conference, 2011

Boundary control of two-phase fluid flow using the Laplace-space domain.

Snezana Djordjevic, Okko H. Bosgra, Paul M. J. Van den Hof

Proceedings of the American Control Conference, 2011

2010

Integrated dynamic optimization and control in reservoir engineering using locally identified linear models.

Gijs van Essen, Amin Rezapour, Paul M. J. Van den Hof, Jan Dirk Jansen

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Multivariable frequency domain identification using IV-based linear regression.

Rogier S. Blom, Paul M. J. Van den Hof

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Modal actuation for high bandwidth nano-positioning.

Jan Roelf van Hulzen, Georg Schitter, Paul M. J. Van den Hof, Jan van Eijk

Proceedings of the American Control Conference, 2010

Lexicographic optimization of multiple economic objectives in oil production from petroleum reservoirs.

Gijs van Essen, Paul M. J. Van den Hof, Jan Dirk Jansen

Proceedings of the American Control Conference, 2010

Boundary actuation structure of linearized two-phase flow.

Snezana Djordjevic, Okko H. Bosgra, Paul M. J. Van den Hof, Dimitri Jeltsema

Proceedings of the American Control Conference, 2010

2009

Asymptotically optimal orthonormal basis functions for LPV system identification.

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof

Autom., 2009

A behavioral approach to LPV systems.

Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 10th European Control Conference, 2009

Load dynamics in piezoelectric actuation.

Jan Roelf van Hulzen, Georg Schitter, Paul M. J. Van den Hof, Jan van Eijk

Proceedings of the 10th European Control Conference, 2009

Control of cavity flow based on a macroscopic observation.

Snezana Djordjevic, Paul M. J. Van den Hof, Dimitri Jeltsema, Rob van't Veen

Proceedings of the 10th European Control Conference, 2009

Discretization of Linear Fractional Representations of LPV systems.

Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach.

Roland Tóth, Christian Lyzell, Martin Enqvist, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Effect of model structure and signal-to-noise ratio on finite-time uncertainty bounding in prediction error identification.

Xavier Bombois, Arnold J. den Dekker, Märta Barenthin, Paul M. J. Van den Hof

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Towards automatic control of scanning transmission electron microscopes.

Arturo Tejada, Saartje W. van der Hoeven, Arnold J. den Dekker, Paul M. J. Van den Hof

Proceedings of the IEEE International Conference on Control Applications, 2009

2008

Validity of the standard cross-correlation test for model structure validation.

Sippe G. Douma, Xavier Bombois, Paul M. J. Van den Hof

Autom., 2008

Flexible model structures for LPV identification with static scheduling dependency.

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Virtual closed loop identification: A generalized tool for identification in closed loop.

Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

Closed-loop identification of multivariable processes with part of the inputs controlled.

Martijn Leskens, Paul M. J. Van den Hof

Int. J. Control, 2007

LPV system identification with globally fixed orthonormal basis functions.

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006

A Unified Transform for LTI Systems - Presented as a (Generalized) Frame.

Arie Feuer, Paul M. J. Van den Hof, Peter S. C. Heuberger

EURASIP J. Adv. Signal Process., 2006

Least costly identification experiment for control.

Xavier Bombois, Gérard Scorletti, Michel Gevers, Paul M. J. Van den Hof, Roland Hildebrand

Autom., 2006

Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach.

Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Probabilistic uncertainty bounding in output error models with unmodelled dynamics.

Sippe G. Douma, Paul M. J. Van den Hof

Proceedings of the American Control Conference, 2006

2005

Introduction to the special issue on data-based modelling and system identification.

Torsten Söderström, Paul M. J. Van den Hof, Bo Wahlberg, Siep Weiland

Autom., 2005

Instrumental variable methods for closed-loop system identification.

Marion Gilson, Paul M. J. Van den Hof

Autom., 2005

Relations between uncertainty structures in identification for robust control.

Sippe G. Douma, Paul M. J. Van den Hof

Autom., 2005

An Alternative Paradigm for Probabilistic Uncertainty Bounding in Prediction Error Identification.

Sippe G. Douma, Paul M. J. Van den Hof

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models.

Robert Bos, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Instrumental variable methods for continuous-time model identification in closed-loop.

Marion Gilson, Hugues Garnier, Paul M. J. Van den Hof

Proceedings of the 2004 American Control Conference, 2004

Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations.

Robert Bos, Xavier Bombois, Paul M. J. Van den Hof

Proceedings of the 2004 American Control Conference, 2004

Least costly identification experiment for control. A solution based on a high-order model approximation.

Xavier Bombois, Gérard Scorletti, Paul M. J. Van den Hof, Michel Gevers

Proceedings of the 2004 American Control Conference, 2004

2003

Orthonormal Basis Functions in Time and Frequency Domain: Hambo Transform Theory.

Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof, Bo Wahlberg

SIAM J. Control. Optim., 2003

Call for papers for an Automatica Special Issue on Data-based modelling and system identification.

Paul M. J. Van den Hof

Autom., 2003

Controller tuning freedom under plant identification uncertainty: double Youla beats gap in robust stability.

Sippe G. Douma, Paul M. J. Van den Hof, Okko H. Bosgra

Autom., 2003

2002

Minimal partial realization from generalized orthonormal basis function expansions.

Thomas J. de Hoog, Zoltán Szabó, Peter S. C. Heuberger, Paul M. J. Van den Hof, Jozsef Bokor

Autom., 2002

On the choice of uncertainty structure in identification for robust control.

Sippe G. Douma, Paul M. J. Van den Hof

Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001

Multivariable feedback relevant system identification of a wafer stepper system.

Raymond A. de Callafon, Paul M. J. Van den Hof

IEEE Trans. Control. Syst. Technol., 2001

On the relation between a bias-eliminated least-squares (BELS) and an IV estimator in closed-loop identification.

Marion Gilson, Paul M. J. Van den Hof

Autom., 2001

Asymptotic variance expressions for closed-loop identification.

Michel Gevers, Lennart Ljung, Paul M. J. Van den Hof

Autom., 2001

Pieter Eykhoff, 1929-2000.

Pedro Albertos, Paul M. J. Van den Hof

Autom., 2001

New insights in closed-loop identification with bias-eliminated least-squares (BELS).

Marion Gilson, Paul M. J. Van den Hof

Proceedings of the 6th European Control Conference, 2001

Closed-loop system identification via a tailor-made IV method.

Paul M. J. Van den Hof, Marion Gilson

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Minimal partial realization from orthonormal basis function expansions.

Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof, Zoltán Szabó, Jozsef Bokor

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000

Final comments by the Authors.

Edwin T. van Donkelaar, Paul M. J. Van den Hof

Eur. J. Control, 2000

Analysis of Closed-Loop Identification with a Tailor-Made Parameterization.

Edwin T. van Donkelaar, Paul M. J. Van den Hof

Eur. J. Control, 2000

Extended Ho-Kalman algorithm for systems represented in generalized orthonormal bases.

Zoltán Szabó, Peter S. C. Heuberger, Jozsef Bokor, Paul M. J. Van den Hof

Autom., 2000

A general transform theory of rational orthonormal basis function expansions.

Thomas J. de Hoog, Peter S. C. Heuberger, Paul M. J. Van den Hof

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Wavelets and variance reduction in non-parametric transfer function estimation.

Sippe G. Douma, Thomas J. de Hoog, Paul M. J. Van den Hof

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

Approximation and realization using generalized orthonormal bases.

Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof

Proceedings of the 5th European Control Conference, 1999

Model predictive control with generalized input parametrization.

Edwin T. van Donkelaar, Okko H. Bosgra, Paul M. J. Van den Hof

Proceedings of the 5th European Control Conference, 1999

1998

Frequency domain identification with generalized orthonormal basis functions.

Douwe K. de Vries, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 1998

Model Set Determination and its Application to the Control of Compact Disc Players.

T. Zhou, Hans G. M. Dötsch, Paul M. J. Van den Hof

Eur. J. Control, 1998

1997

Identification of probabilistic system uncertainty regions by explicit evaluation of bias and variance errors.

Richard G. Hakvoort, Paul M. J. Van den Hof

IEEE Trans. Autom. Control., 1997

1996

A unified approach to stability robustness for uncertainty descriptions based on fractional model representations.

Raymond A. de Callafon, Paul M. J. Van den Hof, Peter M. M. Bongers

IEEE Trans. Autom. Control., 1996

Test for local structural identifiability of high-order non-linearly parametrized state space models.

Hans G. M. Dötsch, Paul M. J. Van den Hof

Autom., 1996

1995

A generalized orthonormal basis for linear dynamical systems.

Peter S. C. Heuberger, Paul M. J. Van den Hof, Okko H. Bosgra

IEEE Trans. Autom. Control., 1995

Identification of Normalised Coprime Plant Factors from Closed-loop Experimental Data.

Paul M. J. Van den Hof, Ruud J. P. Schrama, Raymond A. de Callafon, Okko H. Bosgra

Eur. J. Control, 1995

Quantification of uncertainty in transfer function estimation: a mixed probabilistic-worst-case approach.

Douwe K. de Vries, Paul M. J. Van den Hof

Autom., 1995

Identification and control - Closed-loop issues.

Paul M. J. Van den Hof, Ruud J. P. Schrama

Autom., 1995

System identification with generalized orthonormal basis functions.

Paul M. J. Van den Hof, Peter S. C. Heuberger, Jozsef Bokor

Autom., 1995

Consistent parameter bounding identification for linearly parametrized model sets.

Richard G. Hakvoort, Paul M. J. Van den Hof

Autom., 1995

1994

Model sets and parametrizations for identification of multivariable equation error models.

Paul M. J. Van den Hof

Autom., 1994

Approximate identification with closed-loop performance criterion and application to LQG feedback design.

Richard G. Hakvoort, Ruud J. P. Schrama, Paul M. J. Van den Hof

Autom., 1994

1993

An indirect method for transfer function estimation from closed loop data.

Paul M. J. Van den Hof, Ruud J. P. Schrama

Autom., 1993

1992

Delay structure conditions for identifiability of closed loop systems.

Paul M. J. Van den Hof, Douwe K. de Vries, Peter Schoen

Autom., 1992