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Mathematical and Computer Modelling of Dynamical Systems
Methods, Tools and Applications in Engineering and Related Sciences
Volume 19, 2013 - Issue 6
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Original Articles

Incremental optimal process excitation for online system identification based on evolving local model networks

Christoph HametnerInstitute of Mechanics and Mechatronics, Vienna University of Technology, A-1040Vienna, Austria
,
Markus StadlbauerInstitute of Mechanics and Mechatronics, Vienna University of Technology, A-1040Vienna, AustriaCorrespondence[email protected]
,
Maxime DeregnaucourtInstitute of Mechanics and Mechatronics, Vienna University of Technology, A-1040Vienna, Austria
&
Stefan JakubekInstitute of Mechanics and Mechatronics, Vienna University of Technology, A-1040Vienna, Austria
Pages 505-525 | Received 14 Aug 2012, Accepted 23 Apr 2013, Published online: 22 May 2013

Citations (3)

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Read on this site (2)

Xuehai Wang & Feng Ding. (2016) Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique. Mathematical and Computer Modelling of Dynamical Systems 22:2, pages 113-140.
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Maxime Deregnaucourt, Markus Stadlbauer, Christoph Hametner, Stefan Jakubek & Hans-Michael Koegeler. (2015) Evolving model architecture for custom output range exploration. Mathematical and Computer Modelling of Dynamical Systems 21:1, pages 1-22.
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Articles from other publishers (1)

Davide Bartoccini, Peter Niedermaier & Helmut Peter Grassberger. Model-Based Approach for Engine Performance Optimization. Model-Based Approach for Engine Performance Optimization.

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