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ORCIDIvan Goethals
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2000 – 2009
- 2007
[j4]Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens
, Joos Vandewalle, Bart De Moor:
Efficiently updating and tracking the dominant kernel principal components. Neural Networks 20(2): 220-229 (2007)- 2005
- [j3]Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Identification of MIMO Hammerstein models using least squares support vector machines. Autom. 41(7): 1263-1272 (2005) - [j2]Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Subspace identification of Hammerstein systems using least squares support vector machines. IEEE Trans. Autom. Control. 50(10): 1509-1519 (2005) - [c2]Kristiaan Pelckmans, Johan A. K. Suykens, Ivan Goethals, Bart De Moor:
On Model Complexity Control in Identification of Hammerstein Systems. CDC/ECC 2005: 1203-1208 - [c1]Ivan Goethals, Kristiaan Pelckmans, Luc Hoegaerts, Johan A. K. Suykens, Bart De Moor:
Subspace intersection identification of Hammerstein-Wiener systems. CDC/ECC 2005: 7108-7113 - [i1]Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
Componentwise Least Squares Support Vector Machines. CoRR abs/cs/0504086 (2005) - 2003
- [j1]Ivan Goethals, Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren, Bart De Moor:
Identification of positive real models in subspace identification by using regularization. IEEE Trans. Autom. Control. 48(10): 1843-1847 (2003)
Coauthor Index
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