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» On optimal input design in system identification for control
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ESANN
2004
13 years 9 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
TSP
2008
134views more  TSP 2008»
13 years 7 months ago
Computational Algorithms for Wavelet Identification of Nonlinearities in Hammerstein Systems With Random Inputs
Abstract-- Simple and efficient computational algorithms for nonparametric wavelet-based identification of nonlinearities in Hammerstein systems driven by random signals are propos...
Przemyslaw Sliwinski, Zygmunt Hasiewicz
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
AUTOMATICA
2005
126views more  AUTOMATICA 2005»
13 years 7 months ago
Relations between uncertainty structures in identification for robust control
Various techniques of system identification exist that provide a nominal model and an uncertainty bound. An important question is what the implications are for the particular choi...
Sippe G. Douma, Paul M. J. Van den Hof