B. De Moor

发表

Traffic identification of ATM networks with optimization algorithms

Cheng Yi, B. De Moor, 1996, Proceedings of 35th IEEE Conference on Decision and Control.

A robust MPC design for hot rolling mills: a polyhedral invariant sets approach

B. De Moor, P. Fleming, I.S. Choi, 2006, 2006 American Control Conference.

Dynamic timbre matching for sound synthesis using time-varying parametric filters

B. De Moor, R. Lauwereins, A. Nackaerts, 2000, Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144).

Optimal PID control of a chemical batch reactor

B. De Moor, P. Van Overschee, 1999, 1999 European Control Conference (ECC).

An improved first-order macroscopic flow model for highway traffic simulation

B. De Moor, B. De Schutter, T. Bellemans, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Anticipative model predictive control for ramp metering in freeway networks

B. De Moor, B. De Schutter, T. Bellemans, 2003, Proceedings of the 2003 American Control Conference, 2003..

Model predictive control with repeated model fitting for ramp metering

B. De Moor, B. De Schutter, T. Bellemans, 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

State Representations From Finite Time Series

B. De Moor, J.C. Willems, I. Markovsky, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

The PeopleMover educational project - design, simulation, and implementation of a real control system application

B. De Moor, W. Dehaene, H. De Man, 2004, IEEE Control Systems.

Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series

B. De Moor, R. Belmans, C. Joye, 2005, IEEE Transactions on Power Systems.

Electric Load Forecasting

B. De Moor, R. Belmans, J.A.K. Suykens, 2007, IEEE Control Systems.

Subspace angles between linear stochastic models

B. De Moor, K. De Cock, B. De Moor, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Learning with Heterogenous Data Sets by Weighted Multiple Kernel Canonical Correlation Analysis

B. De Moor, Y. Moreau, Shi Yu, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Imposing stability in subspace identification by regularization

B. De Moor, P. Van Dooren, J. Suykens, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

ICA algorithms for 3 sources and 2 sensors

B. De Moor, P. Comon, J. Vandewalle, 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.

A note on closed-loop balanced truncation

B. De Moor, B. De Moor, G. Schelfhout, 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

Software for Approximate Linear System Identification

B. De Moor, S. Van Huffel, I. Markovsky, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

On Model Complexity Control in Identification of Hammerstein Systems

B. De Moor, J. Suykens, B. Moor, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Continuous-time errors-in-variables filtering

B. De Moor, I. Markovsky, J. Willems, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

A bilinear extension of subspace identification for systems subject to white inputs

B. De Moor, P. Van Overschee, W. Favoreel, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Least squares support vector machines and primal space estimation

B. De Moor, M. Espinoza, J. Suykens, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Least squares support vector machine regression for discriminant analysis

B. De Moor, J. Vandewalle, J. De Brabanter, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

ICA techniques for more sources than sensors

B. De Moor, J. Vandewalle, L. De Lathauwer, 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.

Interpolation based MPC for LPV systems using polyhedral invariant sets

B. De Moor, B. Pluymers, J. Suykens, 2005, Proceedings of the 2005, American Control Conference, 2005..

Closed loop subspace system identification

B. De Moor, P. Van Overschee, B. De Moor, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Dimensionality reduction in higher-order-only ICA

B. De Moor, J. Vandewalle, L. De Lathauwer, 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.

Regularization constants in LS-SVMs: a fast estimate via convex optimization

B. De Moor, J.A.K. Suykens, B. De Moor, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Subspace identification of balanced deterministic bilinear systems subject to white inputs

B. De Moor, P. Van Overschee, W. Favoreel, 1997, 1997 European Control Conference (ECC).

Two subspace algorithms for the identification of combined deterministic-stochastic systems

B. De Moor, P. Van Overschee, 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

Ordinal Least Squares Support Vector Machines - A Discriminant Analysis Approach

B. De Moor, P. Karsmakers, J.A.K. Suykens, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

Maximal variation and missing values for componentwise support vector machines

B. De Moor, J. De Brabanter, J. Suykens, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Subspace algorithms for the stochastic identification problem

B. De Moor, P. Van Overschee, 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.