OPTEC - K.U.Leuven Center of Excellence: Optimization in Engineering

IT (Articles in internationally reviewed academic journals)

Falck, T., Dreesen, P., De Brabanter, K., Pelckmans, K., De Moor, B., Suykens, J. (2012). Least-Squares Support Vector Machines for the Identification of Wiener-Hammerstein Systems. Control Engineering Practice, accepted.

IHb (Article in academic book, internationally recognised scientific publisher)

Dreesen, P., De Moor, B. (2009). Polynomial optimization problems are eigenvalue problems. In: Van den Hof P., Scherer C., Heuberger P. (Eds.), Model-based control. Bridging rigorous theory and advanced technology, Chapt. 4 (pp. 49-68) Springer.

IC (Papers at international scientific conferences and symposia, published in full in proceedings)

Batselier, K., Dreesen, P., De Moor, B. (2012). Maximum likelihood estimation and polynomial system solving. Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2012: Vol. accepted. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2012. Brugge, Belgium, 2012.

Batselier, K., Dreesen, P., De Moor, B. (2012). Global optimization and prediction error methods. Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012): Vol. accepted. 16th IFAC Symposium on System Identification (SYSID 2012), 2012.

Dreesen, P., Batselier, K., De Moor, B. (2012). Back to the roots : Polynomial system solving, linear algebra, systems theory. Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012): Vol. accepted. 16th IFAC Symposium on System Identification (SYSID 2012), 2012.

Dreesen, P., Batselier, K., De Moor, B. (2012). Weighted/structured total least squares problems and polynomial system solving. Proc. of the 11th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012): Vol. accepted. 11th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Brugge, Belgium, Mar, 2012.

Geebelen, D., Batselier, K., Dreesen, P., Signoretto, M., Suykens, J., De Moor, B., Vandewalle, J. (2012). Joint regression and linear combination of time series for optimal prediction. Proc. of ESANN 2012. ESANN 2012. Brugge, Belgium, April, 2012.

De Brabanter, K., Dreesen, P., Karsmakers, P., Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2009). Fixed-size LS-SVM applied to the Wiener-Hammerstein Benchmark. Proc. of the 15th IFAC symposium on System Identification (SYSID 2009). 15th IFAC symposium on System Identification (SYSID 2009). Saint-Malo, France, Jul. 2009 (pp. 826-831).

This list is generated from Lirias and contains data from Lirias as it is entered and validated by the researcher.