Identifiability in Dynamic Acyclic Networks With Partial Excitation and Measurement - Xiaodong Cheng; Shengling Shi; Ioannis Lestas; Paul M. J. Van den Hof (IEEE Trans. Autom. Control., 2025)

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)

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)

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)

On the informativity of direct identification experiments in dynamical networks - Xavier Bombois; Kévin Colin; Paul M. J. Van den Hof; Håkan Hjalmarsson (Autom., 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., 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)

Identification of Diffusively Coupled Linear Networks Through Structured Polynomial Models - E. M. M. Kivits; Paul M. J. Van den Hof (IEEE Trans. Autom. Control., 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., 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 (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

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 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)

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)

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)

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)

Local identification in diffusively coupled linear networks - E. M. M. Lizan Kivits; Paul M. J. Van den Hof (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 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 (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)

Learning linear modules in a dynamic network with missing node observations - Karthik Raghavan Ramaswamy; Giulio Bottegal; Paul M. J. Van den Hof (CoRR, 2022)

On a Canonical Distributed Controller in the Behavioral Framework - Tom Robert Vince Steentjes; Mircea Lazar; Paul M. J. Van den Hof (CoRR, 2022)

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)

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)

Learning local modules in dynamic networks without prior topology information - Venkatakrishnan C. Rajagopal; Karthik Raghavan Ramaswamy; Paul M. J. Van den Hof (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 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 (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

Controller identification for data-driven model-reference distributed control - Tom Robert Vince Steentjes; Mircea Lazar; Paul M. J. Van den Hof (2021 European Control Conference, ECC 2021, Virtual Event / Delft, The Netherlands, June 29 - July 2, 2021, 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, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland, 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)

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 (CoRR, 2021)

Identification of physical networks through structured polynomial models - E. M. M. Kivits; Paul M. J. Van den Hof (CoRR, 2021)

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 (CoRR, 2021)

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 (CoRR, 2021)

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)

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)

Data-driven distributed control: Virtual reference feedback tuning in dynamic networks - Tom Robert Vince Steentjes; Mircea Lazar; Paul M. J. Van den Hof (59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020, 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 (59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020, 2020)

Path-based data-informativity conditions for single module identification in dynamic networks - Paul M. J. Van den Hof; Karthik Raghavan Ramaswamy (59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020, 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)

Learning linear modules in a dynamic network using regularized kernel-based methods - Karthik Raghavan Ramaswamy; Giulio Bottegal; Paul M. J. Van den Hof (CoRR, 2020)

Generic identifiability of subnetworks in a linear dynamic network: the full measurement case - Shengling Shi; Xiaodong Cheng; 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 (CoRR, 2020)

Data-driven distributed control: Virtual reference feedback tuning in dynamic networks - Tom Robert Vince Steentjes; Mircea Lazar; Paul M. J. Van den Hof (CoRR, 2020)

Single module identifiability in linear dynamic networks with partial excitation and measurement - Shengling Shi; Xiaodong Cheng; Paul M. J. Van den Hof (CoRR, 2020)

A dynamic network approach to identification of physical systems - E. M. M. Lizan Kivits; Paul M. J. Van den Hof (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 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 (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks - Xiaodong Cheng; Shengling Shi; Paul M. J. Van den Hof (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 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 (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

Bayesian topology identification of linear dynamic networks - Shengling Shi; Giulio Bottegal; Paul M. J. Van den Hof (17th European Control Conference, ECC 2019, Naples, Italy, June 25-28, 2019, 2019)

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 (CoRR, 2019)

Bayesian topology identification of linear dynamic networks - Shengling Shi; Giulio Bottegal; Paul M. J. Van den Hof (CoRR, 2019)

A local direct method for module identification in dynamic networks with correlated noise - Karthik Raghavan Ramaswamy; Paul M. J. Van den Hof (CoRR, 2019)

Identifiability of linear dynamic networks - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (Autom., 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)

Identification in dynamic networks - Paul M. J. Van den Hof; Arne G. Dankers; Harm H. M. Weerts (Comput. Chem. Eng., 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 (2018 Annual American Control Conference, ACC 2018, Milwaukee, WI, USA, June 27-29, 2018, 2018)

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods - Karthik Raghavan Ramaswamy; Giulio Bottegal; Paul M. J. Van den Hof (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Single Module Identifiability in Linear Dynamic Networks - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (57th IEEE Conference on Decision and Control, CDC 2018, Miami, FL, USA, December 17-19, 2018, 2018)

Single module identifiability in linear dynamic networks - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (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)

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 with correlated noise: the full input case - Paul M. J. Van den Hof; Karthik Raghavan Ramaswamy; Arne G. Dankers; Giulio Bottegal (CoRR, 2018)

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)

Data-driven and model-based verification via Bayesian identification and reachability analysis - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (Autom., 2017)

Prediction error identification with rank-reduced output noise - Paul M. J. Van den Hof; Harm H. M. Weerts; Arne G. Dankers (2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017, 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 (56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017, 2017)

Identification in Dynamic Networks - Paul M. J. Van den Hof; Arne G. Dankers; Harm H. M. Weerts (CoRR, 2017)

Prediction error identification of linear dynamic networks with rank-reduced noise - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (CoRR, 2017)

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)

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)

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)

Identification of dynamic networks operating in the presence of algebraic loops - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016, 2016)

Experiment design for formal verification via stochastic optimal control - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (15th European Control Conference, ECC 2016, Aalborg, Denmark, June 29 - July 1, 2016, 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 (15th European Control Conference, ECC 2016, Aalborg, Denmark, June 29 - July 1, 2016, 2016)

Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement - Sofie Haesaert; Alessandro Abate; Paul M. J. Van den Hof (Quantitative Evaluation of Systems - 13th International Conference, QEST 2016, Quebec City, QC, Canada, August 23-25, 2016, Proceedings, 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)

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 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)

Data-driven property verification of grey-box systems by Bayesian experiment design - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (American Control Conference, ACC 2015, Chicago, IL, USA, July 1-3, 2015, 2015)

Non-parametric identification in dynamic networks - Arne G. Dankers; Paul M. J. Van den Hof (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 2015)

Correct-by-design output feedback of LTI systems - Sofie Haesaert; Alessandro Abate; Paul M. J. Van den Hof (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 2015)

Data-driven and model-based verification: A Bayesian identification approach - Sofie Haesaert; Alessandro Abate; Paul M. J. Van den Hof (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 2015)

Risk management in oil reservoir water-flooding under economic uncertainty - Muhammad Mohsin Siraj; Paul M. J. Van den Hof; Jan Dirk Jansen (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 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 (14th European Control Conference, ECC 2015, Linz, Austria, July 15-17, 2015, 2015)

Data-driven and Model-based Verification: a Bayesian Identification Approach - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (CoRR, 2015)

Observer-based correct-by-design controller synthesis - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (CoRR, 2015)

Direct and indirect continuous-time identification in dynamic networks - Arne G. Dankers; Paul M. J. Van den Hof; Xavier Bombois (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 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 (13th European Control Conference, ECC 2014, Strasbourg, France, June 24-27, 2014, 2014)

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)

Experiment design for batch-to-batch model-based learning control - Marco Forgione; Xavier Bombois; Paul M. J. Van den Hof (American Control Conference, ACC 2013, Washington, DC, USA, June 17-19, 2013, 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, CDC 2013, Florence, Italy, December 10-13, 2013, 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, CDC 2013, Florence, Italy, December 10-13, 2013, 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 (12th European Control Conference, ECC 2013, Zurich, Switzerland, July 17-19, 2013, 2013)

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)

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)

Optimal control for power-off landing of a small-scale helicopter a pseudospectral approach - Skander Taamallah; Xavier Bombois; Paul M. J. Van den Hof (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 2012)

Iterative Learning Control of supersaturation in batch cooling crystallization - Marco Forgione; Ali Mesbah; Xavier Bombois; Paul M. J. Van den Hof (American Control Conference, ACC 2012, Montreal, QC, Canada, June 27-29, 2012, 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, CDC 2012, December 10-13, 2012, Maui, HI, USA, 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, CDC 2012, December 10-13, 2012, Maui, HI, USA, 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, CDC 2012, December 10-13, 2012, Maui, HI, USA, 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, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

A virtual closed loop method for closed loop identification - Juan C. Agüero; Graham C. Goodwin; Paul M. J. Van den Hof (Autom., 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)

LPV identification of high performance positioning devices - Roland Tóth; Marc van de Wal; Peter S. C. Heuberger; Paul M. J. Van den Hof (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 2011)

Boundary control of two-phase fluid flow using the Laplace-space domain - Snezana Djordjevic; Okko H. Bosgra; Paul M. J. Van den Hof (American Control Conference, ACC 2011, San Francisco, CA, USA, June 29 - July 1, 2011, 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 (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Closed-loop performance diagnosis using prediction error identification - Ali Mesbah; Xavier Bombois; Jobert H. A. Ludlage; Paul M. J. Van den Hof (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

Lexicographic optimization of multiple economic objectives in oil production from petroleum reservoirs - Gijs van Essen; Paul M. J. Van den Hof; Jan Dirk Jansen (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Boundary actuation structure of linearized two-phase flow - Snezana Djordjevic; Okko H. Bosgra; Paul M. J. Van den Hof; Dimitri Jeltsema (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 2010)

Modal actuation for high bandwidth nano-positioning - Jan Roelf van Hulzen; Georg Schitter; Paul M. J. Van den Hof; Jan van Eijk (American Control Conference, ACC 2010, Baltimore, Maryland, USA, June 30 - July 2, 2010, 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, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 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, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)

Asymptotically optimal orthonormal basis functions for LPV system identification - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (Autom., 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, CCA 2009 and of the International Symposium on Intelligent Control, ISIC 2009, Saint Petersburg, Russia, July 8-10, 2009, 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, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 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, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 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, CDC 2009, combined withe the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China, 2009)

Control of cavity flow based on a macroscopic observation - Snezana Djordjevic; Paul M. J. Van den Hof; Dimitri Jeltsema; Rob van't Veen (10th European Control Conference, ECC 2009, Budapest, Hungary, 23-26 August 2009, 2009)

A behavioral approach to LPV systems - Roland Tóth; Jan C. Willems; Peter S. C. Heuberger; Paul M. J. Van den Hof (10th European Control Conference, ECC 2009, Budapest, Hungary, 23-26 August 2009, 2009)

Load dynamics in piezoelectric actuation - Jan Roelf van Hulzen; Georg Schitter; Paul M. J. Van den Hof; Jan van Eijk (10th European Control Conference, ECC 2009, Budapest, Hungary, 23-26 August 2009, 2009)

Validity of the standard cross-correlation test for model structure validation - Sippe G. Douma; Xavier Bombois; Paul M. J. Van den Hof (Autom., 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, CDC 2008, December 9-11, 2008, Cancún, Mexico, 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, CDC 2008, December 9-11, 2008, Cancún, Mexico, 2008)

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 (46th IEEE Conference on Decision and Control, CDC 2007, New Orleans, LA, USA, December 12-14, 2007, 2007)

Least costly identification experiment for control - Xavier Bombois; Gérard Scorletti; Michel Gevers; Paul M. J. Van den Hof; Roland Hildebrand (Autom., 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)

Probabilistic uncertainty bounding in output error models with unmodelled dynamics - Sippe G. Douma; Paul M. J. Van den Hof (American Control Conference, ACC 2006, Minneapolis, MN, USA, 14-16 June, 2006, 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 (45th IEEE Conference on Decision and Control, CDC 2006, San Diego, CA, USA, December 13-15, 2006, 2006)

Instrumental variable methods for closed-loop system identification - Marion Gilson; Paul M. J. Van den Hof (Autom., 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)

Relations between uncertainty structures in identification for robust control - Sippe G. Douma; Paul M. J. Van den Hof (Autom., 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 (44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005, 2005)

An Alternative Paradigm for Probabilistic Uncertainty Bounding in Prediction Error Identification - Sippe G. Douma; Paul M. J. Van den Hof (44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, CDC/ECC 2005, Seville, Spain, 12-15 December, 2005, 2005)

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, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 2004)

Closed-loop identification of multivariable processes with part of the inputs controlled - Martijn Leskens; Paul M. J. Van den Hof (Proceedings of the 2004 American Control Conference, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 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, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 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, ACC 2004, Boston, MA, USA, June 30 - July 2, 2004, 2004)

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)

Call for papers for an Automatica Special Issue on Data-based modelling and system identification - Paul M. J. Van den Hof (Autom., 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)

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 (41st IEEE Conference on Decision and Control, CDC 2002, Las Vegas, NV, USA, December 10-13, 2002, 2002)

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)

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)

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)

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 (American Control Conference, ACC 2001, Arlington, VA, USA, 25-27 June, 2001, 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 (40th IEEE Conference on Decision and Control, CDC 2001, Orlando, FL, USA, 4-7 Dec., 2001, 2001)

Closed-loop system identification via a tailor-made IV method - Paul M. J. Van den Hof; Marion Gilson (40th IEEE Conference on Decision and Control, CDC 2001, Orlando, FL, USA, 4-7 Dec., 2001, 2001)

New insights in closed-loop identification with bias-eliminated least-squares (BELS) - Marion Gilson; Paul M. J. Van den Hof (6th European Control Conference, ECC 2001, Porto, Portugal, September 4-7, 2001, 2001)

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)

Analysis of Closed-Loop Identification with a Tailor-Made Parameterization - Edwin T. van Donkelaar; Paul M. J. Van den Hof (Eur. J. Control, 2000)

Final comments by the Authors - Edwin T. van Donkelaar; Paul M. J. Van den Hof (Eur. J. 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 (39th IEEE Conference on Decision and Control, CDC 2000, Sydney, Australia, December 12-15, 2000, 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 (39th IEEE Conference on Decision and Control, CDC 2000, Sydney, Australia, December 12-15, 2000, 2000)

Model predictive control with generalized input parametrization - Edwin T. van Donkelaar; Okko H. Bosgra; Paul M. J. Van den Hof (5th European Control Conference, ECC 1999, Karlsruhe, Germany, August 31 - September 3, 1999, 1999)

Approximation and realization using generalized orthonormal bases - Peter S. C. Heuberger; Thomas J. de Hoog; Paul M. J. Van den Hof (5th European Control Conference, ECC 1999, Karlsruhe, Germany, August 31 - September 3, 1999, 1999)

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)

Frequency domain identification with generalized orthonormal basis functions - Douwe K. de Vries; Paul M. J. Van den Hof (IEEE Trans. Autom. Control., 1998)

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)

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)

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)

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)

Consistent parameter bounding identification for linearly parametrized model sets - Richard G. Hakvoort; 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)

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)

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)

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)

An indirect method for transfer function estimation from closed loop data - Paul M. J. Van den Hof; Ruud J. P. Schrama (Autom., 1993)

Delay structure conditions for identifiability of closed loop systems - Paul M. J. Van den Hof; Douwe K. de Vries; Peter Schoen (Autom., 1992)