Incremental optimal process excitation for online system identification based on evolving local model networks-Reference-Cited by-同舟云学术

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

Published:2013-12 Issue:6 Volume:19 Page:505-525
ISSN:1387-3954
Container-title:Mathematical and Computer Modelling of Dynamical Systems
language:en
Short-container-title:Mathematical and Computer Modelling of Dynamical Systems

Author:

Hametner Christoph,Stadlbauer Markus,Deregnaucourt Maxime,Jakubek Stefan

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Modelling and Simulation,Software,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/13873954.2013.800122

Reference27 articles.

1. Optimal experimental design and some related control problems

2. M. Deflorian, F. Kloepper, and J. Rueckert, Online dynamic black box modelling and adaptive experiment design in combustion engine calibration, 6th IFAC Symposium Advances in Automotive Control 2010, Holiday Inn Munich, IFAC, Laxenburg, 12–14 July 2010, pp. 1–6.

3. Combustion engine modelling using an evolving local model network

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modelling and multi-innovation parameter identification for Hammerstein nonlinear state space systems using the filtering technique;Mathematical and Computer Modelling of Dynamical Systems;2016-02-15

2. Evolving model architecture for custom output range exploration;Mathematical and Computer Modelling of Dynamical Systems;2014-02-14

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