Paul M. J. Van den Hof

According to our database1, Paul M. J. Van den Hof authored at least 112 papers between 1992 and 2021.

Collaborative distances:

IEEE Fellow

IEEE Fellow 2008, "For contribution to system identification for control systems".

Book
In proceedings
Article
PhD thesis
Other

Bibliography

2021
Guaranteed $\mathcal{H}_\infty$ performance analysis and controller synthesis for interconnected linear systems from noisy input-state data.
CoRR, 2021

2020
Single module identifiability in linear dynamic networks with partial excitation and measurement.
CoRR, 2020

Generic identifiability of subnetworks in a linear dynamic network: the full measurement case.
CoRR, 2020

Learning linear modules in a dynamic network using regularized kernel-based methods.
CoRR, 2020

Distributed $\mathscr{H}_2$ Control for Interconnected Discrete-Time Systems: A Dissipativity-based Approach.
CoRR, 2020

A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect.
Comput. Biol. Medicine, 2020

Abstractions of linear dynamic networks for input selection in local module identification.
Autom., 2020

Data-driven distributed control: Virtual reference feedback tuning in dynamic networks.
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.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Path-based data-informativity conditions for single module identification in dynamic networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
A local direct method for module identification in dynamic networks with correlated noise.
CoRR, 2019

Bayesian topology identification of linear dynamic networks.
Proceedings of the 17th European Control Conference, 2019

Generalized sensing and actuation schemes for local module identification in dynamic networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A dynamic network approach to identification of physical systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Local module identification in dynamic networks with correlated noise: the full input case.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks.
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.
CoRR, 2018

Local module identification in dynamic networks: do more inputs guarantee smaller variance?
CoRR, 2018

Identification in dynamic networks.
Comput. Chem. Eng., 2018

Prediction error identification of linear dynamic networks with rank-reduced noise.
Autom., 2018

Identifiability of linear dynamic networks.
Autom., 2018

Single Module Identifiability in Linear Dynamic Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

An instrumental variable method for closed-loop identification of coreless linear motors.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Data-driven and model-based verification via Bayesian identification and reachability analysis.
Autom., 2017

Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges.
Annu. Rev. Control., 2017

From closed-loop identification to dynamic networks: Generalization of the direct method.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Prediction error identification with rank-reduced output noise.
Proceedings of the 2017 American Control Conference, 2017

2016
Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection.
IEEE Trans. Autom. Control., 2016

Estimating parameters with pre-specified accuracies in distributed parameter systems using optimal experiment design.
Int. J. Control, 2016

Identifiability of dynamic networks with noisy and noise-free nodes.
CoRR, 2016

Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.
Annu. Rev. Control., 2016

Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement.
Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016

Experiment time minimisation under parameter accuracy constraints and time-domain signal amplitude bounds.
Proceedings of the 15th European Control Conference, 2016

Experiment design for formal verification via stochastic optimal control.
Proceedings of the 15th European Control Conference, 2016

Identification of dynamic networks operating in the presence of algebraic loops.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Least costly closed-loop performance diagnosis and plant re-identification.
Int. J. Control, 2015

Observer-based correct-by-design controller synthesis.
CoRR, 2015

Data-driven model improvement for model-based control.
Autom., 2015

Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach.
Autom., 2015

Least-costly experiment design for uni-parametric linear models: An analytical approach.
Proceedings of the 14th European Control Conference, 2015

Risk management in oil reservoir water-flooding under economic uncertainty.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data-driven and model-based verification: A Bayesian identification approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Correct-by-design output feedback of LTI systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Non-parametric identification in dynamic networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data-driven property verification of grey-box systems by Bayesian experiment design.
Proceedings of the American Control Conference, 2015

2014
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation.
Proceedings of the 13th European Control Conference, 2014

Direct and indirect continuous-time identification in dynamic networks.
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.
Autom., 2013

Predictor input selection for two stage identification in dynamic networks.
Proceedings of the 12th European Control Conference, 2013

Affine LPV modeling: An H∞ based approach.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Predictor input selection for direct identification in dynamic networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Experiment design for batch-to-batch model-based learning control.
Proceedings of the American Control Conference, 2013

2012
On the Discretization of Linear Fractional Representations of LPV Systems.
IEEE Trans. Control. Syst. Technol., 2012

Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework.
IEEE Trans. Control. Syst. Technol., 2012

A unified experiment design framework for detection and identification in closed-loop performance diagnosis.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Identification in dynamic networks with known interconnection topology.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Batch-to-batch strategies for cooling crystallization.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Dynamic network identification using the direct prediction-error method.
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.
Proceedings of the American Control Conference, 2012

Iterative Learning Control of supersaturation in batch cooling crystallization.
Proceedings of the American Control Conference, 2012

2011
The Behavioral Approach to Linear Parameter-Varying Systems.
IEEE Trans. Autom. Control., 2011

A virtual closed loop method for closed loop identification.
Autom., 2011

Closed-loop performance diagnosis using prediction error identification.
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.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Integrated dynamic optimization and control in reservoir engineering using locally identified linear models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Multivariable frequency domain identification using IV-based linear regression.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Lexicographic optimization of multiple economic objectives in oil production from petroleum reservoirs.
Proceedings of the American Control Conference, 2010

2009
Asymptotically optimal orthonormal basis functions for LPV system identification.
Autom., 2009

A behavioral approach to LPV systems.
Proceedings of the 10th European Control Conference, 2009

Load dynamics in piezoelectric actuation.
Proceedings of the 10th European Control Conference, 2009

Control of cavity flow based on a macroscopic observation.
Proceedings of the 10th European Control Conference, 2009

Discretization of Linear Fractional Representations of LPV systems.
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.
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.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Towards automatic control of scanning transmission electron microscopes.
Proceedings of the IEEE International Conference on Control Applications, 2009

2008
Validity of the standard cross-correlation test for model structure validation.
Autom., 2008

Flexible model structures for LPV identification with static scheduling dependency.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Virtual closed loop identification: A generalized tool for identification in closed loop.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Closed-loop identification of multivariable processes with part of the inputs controlled.
Int. J. Control, 2007

LPV system identification with globally fixed orthonormal basis functions.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
A Unified Transform for LTI Systems - Presented as a (Generalized) Frame.
EURASIP J. Adv. Signal Process., 2006

Least costly identification experiment for control.
Autom., 2006

Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Introduction to the special issue on data-based modelling and system identification.
Autom., 2005

Instrumental variable methods for closed-loop system identification.
Autom., 2005

Relations between uncertainty structures in identification for robust control.
Autom., 2005

2003
Orthonormal Basis Functions in Time and Frequency Domain: Hambo Transform Theory.
SIAM J. Control. Optim., 2003

Call for papers for an Automatica Special Issue on Data-based modelling and system identification.
Autom., 2003

Controller tuning freedom under plant identification uncertainty: double Youla beats gap in robust stability.
Autom., 2003

2002
Minimal partial realization from generalized orthonormal basis function expansions.
Autom., 2002

2001
Multivariable feedback relevant system identification of a wafer stepper system.
IEEE Trans. Control. Syst. Technol., 2001

On the relation between a bias-eliminated least-squares (BELS) and an IV estimator in closed-loop identification.
Autom., 2001

Asymptotic variance expressions for closed-loop identification.
Autom., 2001

Pieter Eykhoff, 1929-2000.
Autom., 2001

New insights in closed-loop identification with bias-eliminated least-squares (BELS).
Proceedings of the 6th European Control Conference, 2001

2000
Final comments by the Authors.
Eur. J. Control, 2000

Analysis of Closed-Loop Identification with a Tailor-Made Parameterization.
Eur. J. Control, 2000

Extended Ho-Kalman algorithm for systems represented in generalized orthonormal bases.
Autom., 2000

1999
Approximation and realization using generalized orthonormal bases.
Proceedings of the 5th European Control Conference, 1999

Model predictive control with generalized input parametrization.
Proceedings of the 5th European Control Conference, 1999

1998
Model Set Determination and its Application to the Control of Compact Disc Players.
Eur. J. Control, 1998

1996
Test for local structural identifiability of high-order non-linearly parametrized state space models.
Autom., 1996

1995
Identification of Normalised Coprime Plant Factors from Closed-loop Experimental Data.
Eur. J. Control, 1995

Quantification of uncertainty in transfer function estimation: a mixed probabilistic-worst-case approach.
Autom., 1995

Identification and control - Closed-loop issues.
Autom., 1995

System identification with generalized orthonormal basis functions.
Autom., 1995

Consistent parameter bounding identification for linearly parametrized model sets.
Autom., 1995

1994
Model sets and parametrizations for identification of multivariable equation error models.
Autom., 1994

Approximate identification with closed-loop performance criterion and application to LQG feedback design.
Autom., 1994

1993
An indirect method for transfer function estimation from closed loop data.
Autom., 1993

1992
Delay structure conditions for identifiability of closed loop systems.
Autom., 1992