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2020 – today
- 2024
[j66]Lucas F. M. Rodrigues
, Gustavo Henrique Costa Oliveira, Lucas P. R. K. Ihlenfeld, Ricardo Schumacher, Paul M. J. Van den Hof:
Frequency domain identification of passive local modules in linear dynamic networks. Syst. Control. Lett. 193: 105937 (2024)- [i29]Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers:
Data-informativity conditions for structured linear systems with implications for dynamic networks. CoRR abs/2409.03883 (2024) - [i28]Desen Liang, E. M. M. Kivits, Maarten Schoukens, Paul M. J. Van den Hof:
A frequency-domain approach for estimating continuous-time diffusively coupled linear networks. CoRR abs/2410.18773 (2024) - 2023
- [j65]Xavier Bombois, Kévin Colin, Paul M. J. Van den Hof, Håkan Hjalmarsson:
On the informativity of direct identification experiments in dynamical networks. Autom. 148: 110742 (2023) - [j64]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
On a canonical distributed controller in the behavioral framework. Syst. Control. Lett. 179: 105581 (2023) - [j63]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Single Module Identifiability in Linear Dynamic Networks With Partial Excitation and Measurement. IEEE Trans. Autom. Control. 68(1): 285-300 (2023) - [j62]E. M. M. Kivits, Paul M. J. Van den Hof:
Identification of Diffusively Coupled Linear Networks Through Structured Polynomial Models. IEEE Trans. Autom. Control. 68(6): 3513-3528 (2023) - [j61]Xiaodong Cheng, Shengling Shi, Ioannis Lestas, Paul M. J. Van den Hof:
A Necessary Condition for Network Identifiability With Partial Excitation and Measurement. IEEE Trans. Autom. Control. 68(11): 6820-6827 (2023) - [c77]Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
Local Identification in Dynamic Networks using a Multi-Step Least Squares Method. CDC 2023: 431-436 - 2022
- [j60]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Generic identifiability of subnetworks in a linear dynamic network: The full measurement case. Autom. 137: 110093 (2022) - [j59]Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A scalable multi-step least squares method for network identification with unknown disturbance topology. Autom. 141: 110295 (2022) - [j58]Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof:
A frequency domain approach for local module identification in dynamic networks. Autom. 142: 110370 (2022) - [j57]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
On Data-Driven Control: Informativity of Noisy Input-Output Data With Cross-Covariance Bounds. IEEE Control. Syst. Lett. 6: 2192-2197 (2022) - [j56]H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof:
Excitation Allocation for Generic Identifiability of Linear Dynamic Networks With Fixed Modules. IEEE Control. Syst. Lett. 6: 2587-2592 (2022) - [j55]Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof:
Allocation of Excitation Signals for Generic Identifiability of Linear Dynamic Networks. IEEE Trans. Autom. Control. 67(2): 692-705 (2022) - [c76]E. M. M. Lizan Kivits, Paul M. J. Van den Hof:
Local identification in diffusively coupled linear networks. CDC 2022: 874-879 - [i27]H. J. Dreef, Shengling Shi, Xiaodong Cheng, M. C. F. Donkers, Paul M. J. Van den Hof:
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules. CoRR abs/2201.09095 (2022) - [i26]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Informativity conditions for data-driven control based on input-state data and polyhedral cross-covariance noise bounds. CoRR abs/2202.09266 (2022) - [i25]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network with missing node observations. CoRR abs/2208.10995 (2022) - [i24]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
On a Canonical Distributed Controller in the Behavioral Framework. CoRR abs/2210.06268 (2022) - 2021
- [j54]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network using regularized kernel-based methods. Autom. 129: 109591 (2021) - [j53]Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A Local Direct Method for Module Identification in Dynamic Networks With Correlated Noise. IEEE Trans. Autom. Control. 66(11): 5237-5252 (2021) - [c75]Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
Learning local modules in dynamic networks without prior topology information. CDC 2021: 840-845 - [c74]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
H ∞ performance analysis and distributed controller synthesis for interconnected linear systems from noisy input-state data. CDC 2021: 3723-3728 - [c73]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Controller identification for data-driven model-reference distributed control. ECC 2021: 2358-2363 - [c72]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy:
Learning local modules in dynamic networks. L4DC 2021: 176-188 - [i23]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Guaranteed $\mathcal{H}_\infty$ performance analysis and controller synthesis for interconnected linear systems from noisy input-state data. CoRR abs/2103.14399 (2021) - [i22]Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof:
A frequency domain approach for local module identification in dynamic networks. CoRR abs/2105.10901 (2021) - [i21]E. M. M. Kivits, Paul M. J. Van den Hof:
Identification of physical networks through structured polynomial models. CoRR abs/2106.01813 (2021) - [i20]Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A scalable multi-step least squares method for network identification with unknown disturbance topology. CoRR abs/2106.07548 (2021) - [i19]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
On data-driven control: informativity of noisy input-output data with cross-covariance bounds. CoRR abs/2111.14193 (2021) - 2020
- [j52]Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof:
Abstractions of linear dynamic networks for input selection in local module identification. Autom. 117: 108975 (2020) - [j51]Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof:
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect. Comput. Biol. Medicine 127: 104055 (2020) - [c71]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Data-driven distributed control: Virtual reference feedback tuning in dynamic networks. CDC 2020: 1804-1809 - [c70]Venkatakrishnan C. Rajagopal, Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A regularized kernel-based method for learning a module in a dynamic network with correlated noise. CDC 2020: 4348-4353 - [c69]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy:
Path-based data-informativity conditions for single module identification in dynamic networks. CDC 2020: 4354-4359 - [i18]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Distributed $\mathscr{H}_2$ Control for Interconnected Discrete-Time Systems: A Dissipativity-based Approach. CoRR abs/2001.04875 (2020) - [i17]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network using regularized kernel-based methods. CoRR abs/2005.06266 (2020) - [i16]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Generic identifiability of subnetworks in a linear dynamic network: the full measurement case. CoRR abs/2008.01495 (2020) - [i15]Rik J. C. van Esch, Shengling Shi, Antoine Bernas, Svitlana Zinger, Albert P. Aldenkamp, Paul M. J. Van den Hof:
A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect. CoRR abs/2010.07801 (2020) - [i14]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
Data-driven distributed control: Virtual reference feedback tuning in dynamic networks. CoRR abs/2010.14177 (2020) - [i13]Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Single module identifiability in linear dynamic networks with partial excitation and measurement. CoRR abs/2012.11414 (2020)
2010 – 2019
- 2019
- [c68]E. M. M. Lizan Kivits, Paul M. J. Van den Hof:
A dynamic network approach to identification of physical systems. CDC 2019: 4533-4538 - [c67]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal:
Local module identification in dynamic networks with correlated noise: the full input case. CDC 2019: 5494-5499 - [c66]Xiaodong Cheng, Shengling Shi, Paul M. J. Van den Hof:
Allocation of Excitation Signals for Generic Identifiability of Dynamic Networks. CDC 2019: 5507-5512 - [c65]Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof, Arne G. Dankers:
Generalized sensing and actuation schemes for local module identification in dynamic networks. CDC 2019: 5519-5524 - [c64]Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof:
Bayesian topology identification of linear dynamic networks. ECC 2019: 2814-2819 - [i12]Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof:
Abstractions of linear dynamic networks for input selection in local module identification. CoRR abs/1901.00348 (2019) - [i11]Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof:
Bayesian topology identification of linear dynamic networks. CoRR abs/1903.06205 (2019) - [i10]Karthik Raghavan Ramaswamy, Paul M. J. Van den Hof:
A local direct method for module identification in dynamic networks with correlated noise. CoRR abs/1908.00976 (2019) - 2018
- [j50]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Identifiability of linear dynamic networks. Autom. 89: 247-258 (2018) - [j49]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Prediction error identification of linear dynamic networks with rank-reduced noise. Autom. 98: 256-268 (2018) - [j48]Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts:
Identification in dynamic networks. Comput. Chem. Eng. 109: 23-29 (2018) - [c63]Tuan T. Nguyen, Mircea Lazar, Hans Butler, Paul M. J. Van den Hof:
An instrumental variable method for closed-loop identification of coreless linear motors. ACC 2018: 5219-5224 - [c62]Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods. CDC 2018: 4713-4718 - [c61]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Single Module Identifiability in Linear Dynamic Networks. CDC 2018: 4725-4730 - [i9]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Single module identifiability in linear dynamic networks. CoRR abs/1803.02586 (2018) - [i8]Muhammad Mohsin Siraj, Max G. Potters, Paul M. J. Van den Hof:
Local module identification in dynamic networks: do more inputs guarantee smaller variance? CoRR abs/1804.10389 (2018) - [i7]Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems. CoRR abs/1807.08141 (2018) - [i6]Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy, Arne G. Dankers, Giulio Bottegal:
Local module identification in dynamic networks with correlated noise: the full input case. CoRR abs/1809.07502 (2018) - 2017
- [j47]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:
Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges. Annu. Rev. Control. 43: 1-64 (2017) - [j46]Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate:
Data-driven and model-based verification via Bayesian identification and reachability analysis. Autom. 79: 115-126 (2017) - [c60]Paul M. J. Van den Hof, Harm H. M. Weerts, Arne G. Dankers:
Prediction error identification with rank-reduced output noise. ACC 2017: 382-387 - [c59]Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts:
From closed-loop identification to dynamic networks: Generalization of the direct method. CDC 2017: 5845-5850 - [i5]Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts:
Identification in Dynamic Networks. CoRR abs/1710.08865 (2017) - [i4]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Prediction error identification of linear dynamic networks with rank-reduced noise. CoRR abs/1711.06369 (2017) - 2016
- [j45]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:
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives. Annu. Rev. Control. 42: 126-142 (2016) - [j44]Max G. Potters, Xavier Bombois, M. Mansoori, Paul M. J. Van den Hof:
Estimating parameters with pre-specified accuracies in distributed parameter systems using optimal experiment design. Int. J. Control 89(8): 1533-1553 (2016) - [j43]Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger:
Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection. IEEE Trans. Autom. Control. 61(4): 937-952 (2016) - [c58]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Identification of dynamic networks operating in the presence of algebraic loops. CDC 2016: 4606-4611 - [c57]Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate:
Experiment design for formal verification via stochastic optimal control. ECC 2016: 427-432 - [c56]Max G. Potters, Xavier Bombois, Paul M. J. Van den Hof:
Experiment time minimisation under parameter accuracy constraints and time-domain signal amplitude bounds. ECC 2016: 1661-1666 - [c55]Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof:
Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement. QEST 2016: 227-243 - [i3]Harm H. M. Weerts, Paul M. J. Van den Hof, Arne G. Dankers:
Identifiability of dynamic networks with noisy and noise-free nodes. CoRR abs/1609.00864 (2016) - 2015
- [j42]Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof:
Data-driven model improvement for model-based control. Autom. 52: 118-124 (2015) - [j41]Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger:
Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach. Autom. 62: 39-50 (2015) - [j40]Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof:
Least costly closed-loop performance diagnosis and plant re-identification. Int. J. Control 88(11): 2264-2276 (2015) - [c54]Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate:
Data-driven property verification of grey-box systems by Bayesian experiment design. ACC 2015: 1800-1805 - [c53]Arne G. Dankers, Paul M. J. Van den Hof:
Non-parametric identification in dynamic networks. CDC 2015: 3487-3492 - [c52]Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof:
Correct-by-design output feedback of LTI systems. CDC 2015: 6159-6164 - [c51]Sofie Haesaert, Alessandro Abate, Paul M. J. Van den Hof:
Data-driven and model-based verification: A Bayesian identification approach. CDC 2015: 6830-6835 - [c50]Muhammad Mohsin Siraj, Paul M. J. Van den Hof, Jan Dirk Jansen:
Risk management in oil reservoir water-flooding under economic uncertainty. CDC 2015: 7542-7547 - [c49]Max G. Potters, Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof:
Least-costly experiment design for uni-parametric linear models: An analytical approach. ECC 2015: 848-853 - [i2]Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate:
Data-driven and Model-based Verification: a Bayesian Identification Approach. CoRR abs/1509.03347 (2015) - [i1]Sofie Haesaert, Paul M. J. Van den Hof, Alessandro Abate:
Observer-based correct-by-design controller synthesis. CoRR abs/1509.03427 (2015) - 2014
- [c48]Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois:
Direct and indirect continuous-time identification in dynamic networks. CDC 2014: 3334-3339 - [c47]Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof, Håkan Hjalmarsson:
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation. ECC 2014: 25-30 - 2013
- [j39]Paul M. J. Van den Hof, Arne G. Dankers, Peter S. C. Heuberger, Xavier Bombois:
Identification of dynamic models in complex networks with prediction error methods - Basic methods for consistent module estimates. Autom. 49(10): 2994-3006 (2013) - [c46]Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof:
Experiment design for batch-to-batch model-based learning control. ACC 2013: 3912-3917 - [c45]Skander Taamallah, Xavier Bombois, Paul M. J. Van den Hof:
Affine LPV modeling: An H∞ based approach. CDC 2013: 2726-2733 - [c44]Arne G. Dankers, Paul M. J. Van den Hof, Peter S. C. Heuberger:
Predictor input selection for direct identification in dynamic networks. CDC 2013: 4541-4546 - [c43]Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger:
Predictor input selection for two stage identification in dynamic networks. ECC 2013: 1422-1427 - 2012
- [j38]Ali Mesbah, Zoltán K. Nagy, Adrie E. M. Huesman, Herman J. M. Kramer, Paul M. J. Van den Hof:
Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework. IEEE Trans. Control. Syst. Technol. 20(5): 1188-1201 (2012) - [j37]Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Matteo Corno, Paul M. J. Van den Hof:
On the Discretization of Linear Fractional Representations of LPV Systems. IEEE Trans. Control. Syst. Technol. 20(6): 1473-1489 (2012) - [c42]Skander Taamallah, Xavier Bombois, Paul M. J. Van den Hof:
Optimal control for power-off landing of a small-scale helicopter a pseudospectral approach. ACC 2012: 914-919 - [c41]Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof:
Iterative Learning Control of supersaturation in batch cooling crystallization. ACC 2012: 6455-6460 - [c40]Paul M. J. Van den Hof, Arne G. Dankers, Peter S. C. Heuberger, Xavier Bombois:
Identification in dynamic networks with known interconnection topology. CDC 2012: 895-900 - [c39]Arne G. Dankers, Paul M. J. Van den Hof, Peter S. C. Heuberger, Xavier Bombois:
Dynamic network identification using the direct prediction-error method. CDC 2012: 901-906 - [c38]Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof:
A unified experiment design framework for detection and identification in closed-loop performance diagnosis. CDC 2012: 2152-2157 - [c37]Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof:
Batch-to-batch strategies for cooling crystallization. CDC 2012: 6364-6369 - 2011
- [j36]Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof:
A virtual closed loop method for closed loop identification. Autom. 47(8): 1626-1637 (2011) - [j35]Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof:
The Behavioral Approach to Linear Parameter-Varying Systems. IEEE Trans. Autom. Control. 56(11): 2499-2514 (2011) - [c36]Roland Tóth, Marc van de Wal, Peter S. C. Heuberger, Paul M. J. Van den Hof:
LPV identification of high performance positioning devices. ACC 2011: 151-158 - [c35]Snezana Djordjevic, Okko H. Bosgra, Paul M. J. Van den Hof:
Boundary control of two-phase fluid flow using the Laplace-space domain. ACC 2011: 3283-3288 - [c34]Arne G. Dankers, Roland Tóth, Peter S. C. Heuberger, Xavier Bombois, Paul M. J. Van den Hof:
Informative data and identifiability in LPV-ARX prediction-error identification. CDC/ECC 2011: 799-804 - [c33]Ali Mesbah, Xavier Bombois, Jobert H. A. Ludlage, Paul M. J. Van den Hof:
Closed-loop performance diagnosis using prediction error identification. CDC/ECC 2011: 2969-2974 - 2010
- [c32]Gijs van Essen, Paul M. J. Van den Hof, Jan Dirk Jansen:
Lexicographic optimization of multiple economic objectives in oil production from petroleum reservoirs. ACC 2010: 1223-1228 - [c31]Snezana Djordjevic, Okko H. Bosgra, Paul M. J. Van den Hof, Dimitri Jeltsema:
Boundary actuation structure of linearized two-phase flow. ACC 2010: 3759-3764 - [c30]Jan Roelf van Hulzen, Georg Schitter, Paul M. J. Van den Hof, Jan van Eijk:
Modal actuation for high bandwidth nano-positioning. ACC 2010: 6525-6530 - [c29]Rogier S. Blom, Paul M. J. Van den Hof:
Multivariable frequency domain identification using IV-based linear regression. CDC 2010: 1148-1153 - [c28]Gijs van Essen, Amin Rezapour, Paul M. J. Van den Hof, Jan Dirk Jansen:
Integrated dynamic optimization and control in reservoir engineering using locally identified linear models. CDC 2010: 7643-7648
2000 – 2009
- 2009
- [j34]Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof:
Asymptotically optimal orthonormal basis functions for LPV system identification. Autom. 45(6): 1359-1370 (2009) - [c27]Arturo Tejada, Saartje W. van der Hoeven, Arnold J. den Dekker, Paul M. J. Van den Hof:
Towards automatic control of scanning transmission electron microscopes. CCA/ISIC 2009: 788-793 - [c26]Xavier Bombois, Arnold J. den Dekker, Märta Barenthin, Paul M. J. Van den Hof:
Effect of model structure and signal-to-noise ratio on finite-time uncertainty bounding in prediction error identification. CDC 2009: 494-499 - [c25]Roland Tóth, Christian Lyzell, Martin Enqvist, Peter S. C. Heuberger, Paul M. J. Van den Hof:
Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach. CDC 2009: 7406-7411 - [c24]Roland Tóth, Marco Lovera, Peter S. C. Heuberger, Paul M. J. Van den Hof:
Discretization of Linear Fractional Representations of LPV systems. CDC 2009: 7424-7429 - [c23]Snezana Djordjevic, Paul M. J. Van den Hof, Dimitri Jeltsema, Rob van't Veen:
Control of cavity flow based on a macroscopic observation. ECC 2009: 1233-1238 - [c22]Roland Tóth, Jan C. Willems, Peter S. C. Heuberger, Paul M. J. Van den Hof:
A behavioral approach to LPV systems. ECC 2009: 2015-2020 - [c21]Jan Roelf van Hulzen, Georg Schitter, Paul M. J. Van den Hof, Jan van Eijk:
Load dynamics in piezoelectric actuation. ECC 2009: 5009-5014 - 2008
- [j33]Sippe G. Douma, Xavier Bombois, Paul M. J. Van den Hof:
Validity of the standard cross-correlation test for model structure validation. Autom. 44(5): 1285-1294 (2008) - [c20]Juan C. Agüero, Graham C. Goodwin, Paul M. J. Van den Hof:
Virtual closed loop identification: A generalized tool for identification in closed loop. CDC 2008: 1968-1973 - [c19]Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof:
Flexible model structures for LPV identification with static scheduling dependency. CDC 2008: 4522-4527 - 2007
- [j32]Martijn Leskens, Paul M. J. Van den Hof:
Closed-loop identification of multivariable processes with part of the inputs controlled. Int. J. Control 80(10): 1552-1561 (2007) - [c18]Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof:
LPV system identification with globally fixed orthonormal basis functions. CDC 2007: 3646-3653 - 2006
- [j31]Xavier Bombois, Gérard Scorletti, Michel Gevers, Paul M. J. Van den Hof, Roland Hildebrand:
Least costly identification experiment for control. Autom. 42(10): 1651-1662 (2006) - [j30]Arie Feuer, Paul M. J. Van den Hof, Peter S. C. Heuberger:
A Unified Transform for LTI Systems - Presented as a (Generalized) Frame. EURASIP J. Adv. Signal Process. 2006 (2006) - [c17]Sippe G. Douma, Paul M. J. Van den Hof:
Probabilistic uncertainty bounding in output error models with unmodelled dynamics. ACC 2006: 1-6 - [c16]Roland Tóth, Peter S. C. Heuberger, Paul M. J. Van den Hof:
Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. CDC 2006: 2529-2534 - 2005
- [j29]Marion Gilson, Paul M. J. Van den Hof:
Instrumental variable methods for closed-loop system identification. Autom. 41(2): 241-249 (2005) - [j28]Torsten Söderström, Paul M. J. Van den Hof, Bo Wahlberg, Siep Weiland:
Introduction to the special issue on data-based modelling and system identification. Autom. 41(3): 357-358 (2005) - [j27]Sippe G. Douma, Paul M. J. Van den Hof:
Relations between uncertainty structures in identification for robust control. Autom. 41(3): 439-457 (2005) - [c15]Robert Bos, Xavier Bombois, Paul M. J. Van den Hof:
Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models. CDC/ECC 2005: 4146-4151 - [c14]Sippe G. Douma, Paul M. J. Van den Hof:
An Alternative Paradigm for Probabilistic Uncertainty Bounding in Prediction Error Identification. CDC/ECC 2005: 4970-4975 - 2004
- [c13]Xavier Bombois, Gérard Scorletti, Paul M. J. Van den Hof, Michel Gevers:
Least costly identification experiment for control. A solution based on a high-order model approximation. ACC 2004: 2818-2823 - [c12]Martijn Leskens, Paul M. J. Van den Hof:
Closed-loop identification of multivariable processes with part of the inputs controlled. ACC 2004: 2830-2835 - [c11]Marion Gilson, Hugues Garnier, Paul M. J. Van den Hof:
Instrumental variable methods for continuous-time model identification in closed-loop. ACC 2004: 2846-2851 - [c10]Robert Bos, Xavier Bombois, Paul M. J. Van den Hof:
Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations. ACC 2004: 3705-3710 - 2003
- [j26]Sippe G. Douma, Paul M. J. Van den Hof, Okko H. Bosgra:
Controller tuning freedom under plant identification uncertainty: double Youla beats gap in robust stability. Autom. 39(2): 325-333 (2003) - [j25]Paul M. J. Van den Hof:
Call for papers for an Automatica Special Issue on Data-based modelling and system identification. Autom. 39(12): 2023 (2003) - [j24]Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof, Bo Wahlberg:
Orthonormal Basis Functions in Time and Frequency Domain: Hambo Transform Theory. SIAM J. Control. Optim. 42(4): 1347-1373 (2003) - 2002
- [j23]Thomas J. de Hoog, Zoltán Szabó, Peter S. C. Heuberger, Paul M. J. Van den Hof, Jozsef Bokor:
Minimal partial realization from generalized orthonormal basis function expansions. Autom. 38(4): 655-669 (2002) - [c9]Sippe G. Douma, Paul M. J. Van den Hof:
On the choice of uncertainty structure in identification for robust control. CDC 2002: 4197-4202 - 2001
- [j22]Michel Gevers, Lennart Ljung, Paul M. J. Van den Hof:
Asymptotic variance expressions for closed-loop identification. Autom. 37(5): 781-786 (2001) - [j21]Pedro Albertos, Paul M. J. Van den Hof:
Pieter Eykhoff, 1929-2000. Autom. 37(6): 803-804 (2001) - [j20]Marion Gilson, Paul M. J. Van den Hof:
On the relation between a bias-eliminated least-squares (BELS) and an IV estimator in closed-loop identification. Autom. 37(10): 1593-1600 (2001) - [j19]Raymond A. de Callafon, Paul M. J. Van den Hof:
Multivariable feedback relevant system identification of a wafer stepper system. IEEE Trans. Control. Syst. Technol. 9(2): 381-390 (2001) - [c8]Sippe G. Douma, Paul M. J. Van den Hof, Okko H. Bosgra:
Controller tuning freedom under plant identification uncertainty: double Youla beats gap in robust stability. ACC 2001: 3153-3158 - [c7]Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof, Zoltán Szabó, Jozsef Bokor:
Minimal partial realization from orthonormal basis function expansions. CDC 2001: 3673-3678 - [c6]Paul M. J. Van den Hof, Marion Gilson:
Closed-loop system identification via a tailor-made IV method. CDC 2001: 4314-4319 - [c5]Marion Gilson, Paul M. J. Van den Hof:
New insights in closed-loop identification with bias-eliminated least-squares (BELS). ECC 2001: 1428-1433 - 2000
- [j18]Zoltán Szabó, Peter S. C. Heuberger, Jozsef Bokor, Paul M. J. Van den Hof:
Extended Ho-Kalman algorithm for systems represented in generalized orthonormal bases. Autom. 36(12): 1809-1818 (2000) - [j17]Edwin T. van Donkelaar, Paul M. J. Van den Hof:
Analysis of Closed-Loop Identification with a Tailor-Made Parameterization. Eur. J. Control 6(1): 54-62 (2000) - [j16]Edwin T. van Donkelaar, Paul M. J. Van den Hof:
Final comments by the Authors. Eur. J. Control 6(1): 67 (2000) - [c4]Sippe G. Douma, Thomas J. de Hoog, Paul M. J. Van den Hof:
Wavelets and variance reduction in non-parametric transfer function estimation. CDC 2000: 3327-3330 - [c3]Thomas J. de Hoog, Peter S. C. Heuberger, Paul M. J. Van den Hof:
A general transform theory of rational orthonormal basis function expansions. CDC 2000: 4649-4654
1990 – 1999
- 1999
- [c2]Edwin T. van Donkelaar, Okko H. Bosgra, Paul M. J. Van den Hof:
Model predictive control with generalized input parametrization. ECC 1999: 1693-1698 - [c1]Peter S. C. Heuberger, Thomas J. de Hoog, Paul M. J. Van den Hof:
Approximation and realization using generalized orthonormal bases. ECC 1999: 4680-4685 - 1998
- [j15]T. Zhou, Hans G. M. Dötsch, Paul M. J. Van den Hof:
Model Set Determination and its Application to the Control of Compact Disc Players. Eur. J. Control 4(2): 99-115 (1998) - [j14]Douwe K. de Vries, Paul M. J. Van den Hof:
Frequency domain identification with generalized orthonormal basis functions. IEEE Trans. Autom. Control. 43(5): 656-669 (1998) - 1997
- [j13]Richard G. Hakvoort, Paul M. J. Van den Hof:
Identification of probabilistic system uncertainty regions by explicit evaluation of bias and variance errors. IEEE Trans. Autom. Control. 42(11): 1516-1528 (1997) - 1996
- [j12]Hans G. M. Dötsch, Paul M. J. Van den Hof:
Test for local structural identifiability of high-order non-linearly parametrized state space models. Autom. 32(6): 875-883 (1996) - [j11]Raymond A. de Callafon, Paul M. J. Van den Hof, Peter M. M. Bongers:
A unified approach to stability robustness for uncertainty descriptions based on fractional model representations. IEEE Trans. Autom. Control. 41(5): 723-727 (1996) - 1995
- [j10]Douwe K. de Vries, Paul M. J. Van den Hof:
Quantification of uncertainty in transfer function estimation: a mixed probabilistic-worst-case approach. Autom. 31(4): 543-557 (1995) - [j9]Richard G. Hakvoort, Paul M. J. Van den Hof:
Consistent parameter bounding identification for linearly parametrized model sets. Autom. 31(7): 957-969 (1995) - [j8]Paul M. J. Van den Hof, Ruud J. P. Schrama:
Identification and control - Closed-loop issues. Autom. 31(12): 1751-1770 (1995) - [j7]Paul M. J. Van den Hof, Peter S. C. Heuberger, Jozsef Bokor:
System identification with generalized orthonormal basis functions. Autom. 31(12): 1821-1834 (1995) - [j6]Paul M. J. Van den Hof, Ruud J. P. Schrama, Raymond A. de Callafon, Okko H. Bosgra:
Identification of Normalised Coprime Plant Factors from Closed-loop Experimental Data. Eur. J. Control 1(1): 62-74 (1995) - [j5]Peter S. C. Heuberger, Paul M. J. Van den Hof, Okko H. Bosgra:
A generalized orthonormal basis for linear dynamical systems. IEEE Trans. Autom. Control. 40(3): 451-465 (1995) - 1994
- [j4]Paul M. J. Van den Hof:
Model sets and parametrizations for identification of multivariable equation error models. Autom. 30(3): 433-446 (1994) - [j3]Richard G. Hakvoort, Ruud J. P. Schrama, Paul M. J. Van den Hof:
Approximate identification with closed-loop performance criterion and application to LQG feedback design. Autom. 30(4): 679-690 (1994) - 1993
- [j2]Paul M. J. Van den Hof, Ruud J. P. Schrama:
An indirect method for transfer function estimation from closed loop data. Autom. 29(6): 1523-1527 (1993) - 1992
- [j1]Paul M. J. Van den Hof, Douwe K. de Vries, Peter Schoen:
Delay structure conditions for identifiability of closed loop systems. Autom. 28(5): 1047-1050 (1992)
Coauthor Index
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