Arne G. Dankers

发表

Dynamic Networks: Representations, Abstractions, and Well-Posedness

Sean C. Warnick, Nathan Woodbury, Arne G. Dankers, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Single Module Identifiability in Linear Dynamic Networks

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Local module identification in dynamic networks with correlated noise: the full input case

Giulio Bottegal, Arne G. Dankers, Paul M. J. Van den Hof, 2018, 2019 IEEE 58th Conference on Decision and Control (CDC).

On the Relationship Between the Enforced Convergence Criterion and the Asymptotically Optimal Laguerre Pole

David T. Westwick, Arne G. Dankers, D. Westwick, 2012, IEEE Transactions on Automatic Control.

Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection

Xavier Bombois, Arne G. Dankers, Peter S. C. Heuberger, 2016, IEEE Transactions on Automatic Control.

System Identification in Dynamic Networks

Arne G. Dankers, 2014 .

Identification in dynamic networks with known interconnection topology

Xavier Bombois, Arne G. Dankers, Peter S. C. Heuberger, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Dynamic network identification using the direct prediction-error method

Xavier Bombois, Arne G. Dankers, Peter S. C. Heuberger, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Non-parametric identification in dynamic networks

Arne G. Dankers, Paul M. J. Van den Hof, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Informative data and identifiability in LPV-ARX prediction-error identification

Xavier Bombois, Roland Tóth, Arne G. Dankers, 2011, IEEE Conference on Decision and Control and European Control Conference.

Identifiability of linear dynamic networks

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2016, Autom..

On the well-posedness of LTI networks

Sean C. Warnick, Nathan Woodbury, Arne G. Dankers, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

From closed-loop identification to dynamic networks: Generalization of the direct method

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Prediction error identification of linear dynamic networks with rank-reduced noise

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2017, Autom..

Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach

Xavier Bombois, Arne G. Dankers, Peter S. C. Heuberger, 2015, Autom..

Direct and indirect continuous-time identification in dynamic networks

Xavier Bombois, Arne G. Dankers, Paul M. J. Van den Hof, 2014, 53rd IEEE Conference on Decision and Control.

Identification in dynamic networks

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2017, Comput. Chem. Eng..

Predictor input selection for two stage identification in dynamic networks

Xavier Bombois, Arne G. Dankers, Peter S. C. Heuberger, 2013, 2013 European Control Conference (ECC).

Identification of dynamic networks operating in the presence of algebraic loops

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Identifiability of dynamic networks with noisy and noise-free nodes pdf

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2016, ArXiv.

Predictor input selection for direct identification in dynamic networks

Arne G. Dankers, Peter S. C. Heuberger, Paul M. J. Van den Hof, 2013, 52nd IEEE Conference on Decision and Control.

Identification of dynamic models in complex networks with prediction error methods - Basic methods for consistent module estimates

Xavier Bombois, Arne G. Dankers, Peter S. C. Heuberger, 2013, Autom..

Generalized sensing and actuation schemes for local module identification in dynamic networks

Arne G. Dankers, Paul M. J. Van den Hof, Karthik R. Ramaswamy, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Prediction error identification with rank-reduced output noise

Arne G. Dankers, Paul M. J. Van den Hof, Harm H. M. Weerts, 2017, 2017 American Control Conference (ACC).

Conditions for handling confounding variables in dynamic networks

Donatello Materassi, Arne G. Dankers, Pmj Paul van den Hof, 2017 .

Dynamic network structure identification with prediction error methods - basic examples

Xavier Bombois, Paul M.J. Van den Hof, Arne G. Dankers, 2012 .

Nonlinear system identification using optimally selected Laguerre filter banks

Arne G. Dankers, D. Westwick, A. Dankers, 2006, 2006 American Control Conference.

Underground reservoir identification using generalized wellbore data

Arne Dankers, Davood Rashtchian, Paul M.J. Van den Hof, 2015 .