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

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

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)

Model sets and parametrizations for identification of multivariable equation error models. - Paul M. J. Van den Hof (Autom., 1994)

Consistent parameter bounding identification for linearly parametrized model sets. - Richard G. Hakvoort; Paul M. J. Van den Hof (Autom., 1995)

System identification with generalized orthonormal basis functions. - Paul M. J. Van den Hof; Peter S. C. Heuberger; Jozsef Bokor (Autom., 1995)

Identification and control - Closed-loop issues. - Paul M. J. Van den Hof; Ruud J. P. Schrama (Autom., 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 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)

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)

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)

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)

Model predictive control with generalized input parametrization. - Edwin T. van Donkelaar; Okko H. Bosgra; Paul M. J. Van den Hof (ECC, 1999)

Approximation and realization using generalized orthonormal bases. - Peter S. C. Heuberger; Thomas J. de Hoog; Paul M. J. Van den Hof (ECC, 1999)

Wavelets and variance reduction in non-parametric transfer function estimation. - Sippe G. Douma; Thomas J. de Hoog; Paul M. J. Van den Hof (CDC, 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 (CDC, 2000)

Extended Ho-Kalman algorithm for systems represented in generalized orthonormal bases. - Zoltán Szabó 002; 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)

Minimal partial realization from orthonormal basis function expansions. - Peter S. C. Heuberger; Thomas J. de Hoog; Paul M. J. Van den Hof; Zoltán Szabó 002; Jozsef Bokor (CDC, 2001)

Closed-loop system identification via a tailor-made IV method. - Paul M. J. Van den Hof; Marion Gilson (CDC, 2001)

New insights in closed-loop identification with bias-eliminated least-squares (BELS). - Marion Gilson; Paul M. J. Van den Hof (ECC, 2001)

Pieter Eykhoff, 1929-2000. - Pedro Albertos; 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)

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)

On the choice of uncertainty structure in identification for robust control. - Sippe G. Douma; Paul M. J. Van den Hof (CDC, 2002)

Minimal partial realization from generalized orthonormal basis function expansions. - Thomas J. de Hoog; Zoltán Szabó 002; Peter S. C. Heuberger; Paul M. J. Van den Hof; Jozsef Bokor (Autom., 2002)

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)

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 (ACC, 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 (ACC, 2004)

Instrumental variable methods for continuous-time model identification in closed-loop. - Marion Gilson; Hugues Garnier; Paul M. J. Van den Hof (ACC, 2004)

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 (CDC/ECC, 2005)

An Alternative Paradigm for Probabilistic Uncertainty Bounding in Prediction Error Identification. - Sippe G. Douma; Paul M. J. Van den Hof (CDC/ECC, 2005)

Relations between uncertainty structures in identification for robust control. - Sippe G. Douma; Paul M. J. Van den Hof (Autom., 2005)

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)

Probabilistic uncertainty bounding in output error models with unmodelled dynamics. - Sippe G. Douma; Paul M. J. Van den Hof (ACC, 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 (CDC, 2006)

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)

LPV system identification with globally fixed orthonormal basis functions. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 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)

Virtual closed loop identification: A generalized tool for identification in closed loop. - Juan C. Agüero; Graham C. Goodwin; Paul M. J. Van den Hof (CDC, 2008)

Flexible model structures for LPV identification with static scheduling dependency. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 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)

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 (CCA/ISIC, 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 (CDC, 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 (CDC, 2009)

Discretization of Linear Fractional Representations of LPV systems. - Roland Tóth; Marco Lovera; Peter S. C. Heuberger; Paul M. J. Van den Hof (CDC, 2009)

Control of cavity flow based on a macroscopic observation. - Snezana Djordjevic; Paul M. J. Van den Hof; Dimitri Jeltsema; Rob van't Veen (ECC, 2009)

Load dynamics in piezoelectric actuation. - Jan Roelf van Hulzen; Georg Schitter; Paul M. J. Van den Hof; Jan van Eijk (ECC, 2009)

A behavioral approach to LPV systems. - Roland Tóth; Jan C. Willems; Peter S. C. Heuberger; Paul M. J. Van den Hof (ECC, 2009)

Asymptotically optimal orthonormal basis functions for LPV system identification. - Roland Tóth; Peter S. C. Heuberger; Paul M. J. Van den Hof (Autom., 2009)

Boundary actuation structure of linearized two-phase flow. - Snezana Djordjevic; Okko H. Bosgra; Paul M. J. Van den Hof; Dimitri Jeltsema (ACC, 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 (ACC, 2010)

Modal actuation for high bandwidth nano-positioning. - Jan Roelf van Hulzen; Georg Schitter; Paul M. J. Van den Hof; Jan van Eijk (ACC, 2010)

Multivariable frequency domain identification using IV-based linear regression. - Rogier S. Blom; Paul M. J. Van den Hof (CDC, 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 (CDC, 2010)

Boundary control of two-phase fluid flow using the Laplace-space domain. - Snezana Djordjevic; Okko H. Bosgra; Paul M. J. Van den Hof (ACC, 2011)

LPV identification of high performance positioning devices. - Roland Tóth; Marc van de Wal; Peter S. C. Heuberger; Paul M. J. Van den Hof (ACC, 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 (CDC/ECC, 2011)

Closed-loop performance diagnosis using prediction error identification. - Ali Mesbah 002; Xavier Bombois; Jobert H. A. Ludlage; Paul M. J. Van den Hof (CDC/ECC, 2011)

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)

Iterative Learning Control of supersaturation in batch cooling crystallization. - Marco Forgione; Ali Mesbah 002; Xavier Bombois; Paul M. J. Van den Hof (ACC, 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 (ACC, 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 (CDC, 2012)

Batch-to-batch strategies for cooling crystallization. - Marco Forgione; Ali Mesbah 002; Xavier Bombois; Paul M. J. Van den Hof (CDC, 2012)

Identification in dynamic networks with known interconnection topology. - Paul M. J. Van den Hof; Arne G. Dankers; Peter S. C. Heuberger; Xavier Bombois (CDC, 2012)

A unified experiment design framework for detection and identification in closed-loop performance diagnosis. - Ali Mesbah 002; Xavier Bombois; Marco Forgione; Jobert H. A. Ludlage; Per Erik Modén; Håkan Hjalmarsson; Paul M. J. Van den Hof (CDC, 2012)

Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework. - Ali Mesbah 002; 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)

Experiment design for batch-to-batch model-based learning control. - Marco Forgione; Xavier Bombois; Paul M. J. Van den Hof (ACC, 2013)

Predictor input selection for direct identification in dynamic networks. - Arne G. Dankers; Paul M. J. Van den Hof; Peter S. C. Heuberger (CDC, 2013)

Affine LPV modeling: An H∞ based approach. - Skander Taamallah; Xavier Bombois; Paul M. J. Van den Hof (CDC, 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 (ECC, 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)

Direct and indirect continuous-time identification in dynamic networks. - Arne G. Dankers; Paul M. J. Van den Hof; Xavier Bombois (CDC, 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 (ECC, 2014)

Data-driven property verification of grey-box systems by Bayesian experiment design. - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (ACC, 2015)

Non-parametric identification in dynamic networks. - Arne G. Dankers; Paul M. J. Van den Hof (CDC, 2015)

Correct-by-design output feedback of LTI systems. - Sofie Haesaert; Alessandro Abate; Paul M. J. Van den Hof (CDC, 2015)

Data-driven and model-based verification: A Bayesian identification approach. - Sofie Haesaert; Alessandro Abate; Paul M. J. Van den Hof (CDC, 2015)

Risk management in oil reservoir water-flooding under economic uncertainty. - Muhammad Mohsin Siraj; Paul M. J. Van den Hof; Jan Dirk Jansen (CDC, 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 (ECC, 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)

Data-driven model improvement for model-based control. - Marco Forgione; Xavier Bombois; Paul M. J. Van den Hof (Autom., 2015)

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

Least costly closed-loop performance diagnosis and plant re-identification. - Ali Mesbah 002; Xavier Bombois; Marco Forgione; Håkan Hjalmarsson; Paul M. J. Van den Hof (Int. J. Control, 2015)

Identification of dynamic networks operating in the presence of algebraic loops. - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (CDC, 2016)

Experiment design for formal verification via stochastic optimal control. - Sofie Haesaert; Paul M. J. Van den Hof; Alessandro Abate (ECC, 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 (ECC, 2016)

Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement. - Sofie Haesaert; Alessandro Abate; Paul M. J. Van den Hof (QEST, 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)

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)

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)

Prediction error identification with rank-reduced output noise. - Paul M. J. Van den Hof; Harm H. M. Weerts; Arne G. Dankers (ACC, 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 (CDC, 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)

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

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 (ACC, 2018)

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods. - Karthik Raghavan Ramaswamy; Giulio Bottegal; Paul M. J. Van den Hof (CDC, 2018)

Single Module Identifiability in Linear Dynamic Networks. - Harm H. M. Weerts; Paul M. J. Van den Hof; Arne G. Dankers (CDC, 2018)

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)

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)

Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks. - Xiaodong Cheng; Shengling Shi; Paul M. J. Van den Hof (CDC, 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 (CDC, 2019)

A dynamic network approach to identification of physical systems. - E. M. M. Lizan Kivits; Paul M. J. Van den Hof (CDC, 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 (CDC, 2019)

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

Path-based data-informativity conditions for single module identification in dynamic networks. - Paul M. J. Van den Hof; Karthik Raghavan Ramaswamy (CDC, 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 (CDC, 2020)

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

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)

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 local modules in dynamic networks without prior topology information. - Venkatakrishnan C. Rajagopal; Karthik Raghavan Ramaswamy; Paul M. J. Van den Hof (CDC, 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 (CDC, 2021)

Controller identification for data-driven model-reference distributed control. - Tom Robert Vince Steentjes; Mircea Lazar; Paul M. J. Van den Hof (ECC, 2021)

Learning local modules in dynamic networks. - Paul M. J. Van den Hof; Karthik Raghavan Ramaswamy (L4DC, 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)

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)

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

Local identification in diffusively coupled linear networks. - E. M. M. Lizan Kivits; Paul M. J. Van den Hof (CDC, 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)

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)

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)

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)

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)

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 Dynamic Networks using a Multi-Step Least Squares Method. - Stefanie J. M. Fonken; Karthik Raghavan Ramaswamy; Paul M. J. Van den Hof (CDC, 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)

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

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)

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)

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)

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)

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)