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Arne G. Dankers
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Journal Articles
- 2018
- [j7]Harm H. M. Weerts, Paul M. J. Van den Hof
, Arne G. Dankers:
Identifiability of linear dynamic networks. Autom. 89: 247-258 (2018) - [j6]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) - [j5]Paul M. J. Van den Hof
, Arne G. Dankers, Harm H. M. Weerts:
Identification in dynamic networks. Comput. Chem. Eng. 109: 23-29 (2018) - 2016
- [j4]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) - 2015
- [j3]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) - 2013
- [j2]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) - 2012
- [j1]Arne G. Dankers, David T. Westwick
:
On the Relationship Between the Enforced Convergence Criterion and the Asymptotically Optimal Laguerre Pole. IEEE Trans. Autom. Control. 57(5): 1102-1109 (2012)
Conference and Workshop Papers
- 2019
- [c17]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 - [c16]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 - 2018
- [c15]Nathan Woodbury, Arne G. Dankers, Sean Warnick:
Dynamic Networks: Representations, Abstractions, and Well-Posedness. CDC 2018: 4719-4724 - [c14]Harm H. M. Weerts, Paul M. J. Van den Hof
, Arne G. Dankers:
Single Module Identifiability in Linear Dynamic Networks. CDC 2018: 4725-4730 - 2017
- [c13]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 - [c12]Nathan Woodbury, Arne G. Dankers, Sean Warnick:
On the well-posedness of LTI networks. CDC 2017: 4813-4818 - [c11]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 - 2016
- [c10]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 - 2015
- [c9]Arne G. Dankers, Paul M. J. Van den Hof
:
Non-parametric identification in dynamic networks. CDC 2015: 3487-3492 - 2014
- [c8]Arne G. Dankers, Paul M. J. Van den Hof
, Xavier Bombois:
Direct and indirect continuous-time identification in dynamic networks. CDC 2014: 3334-3339 - 2013
- [c7]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 - [c6]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
- [c5]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 - [c4]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 - 2011
- [c3]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 - 2010
- [c2]Arne G. Dankers, David T. Westwick:
A convex method for selecting optimal Laguerre filter banks in system modelling and identification. ACC 2010: 2694-2699 - 2006
- [c1]Arne G. Dankers, David T. Westwick:
Nonlinear system identification using optimally selected Laguerre filter banks. ACC 2006: 1-6
Informal and Other Publications
- 2018
- [i5]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) - [i4]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
- [i3]Paul M. J. Van den Hof, Arne G. Dankers, Harm H. M. Weerts:
Identification in Dynamic Networks. CoRR abs/1710.08865 (2017) - [i2]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
- [i1]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)
Coauthor Index
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