R. Bos

发表

R. Bos, C. Merks, 2000 .

Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models

P.M.J. Van den Hof, R. Bos, X. Bombois, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

AR spectral estimation by application of the Burg algorithm to irregularly sampled data

R. Bos, S. de Waele, P.M.T. Broersen, 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

Estimation of autoregressive spectra with randomly missing data

R. Bos, S. de Waele, P. Broersen, 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).

Designing a Kalman filter when no noise covariance information is available

Xavier Bombois, Paul M.J. Van den Hof, R. Bos, 2005 .

Estimation of time series spectra with randomly missing data

R. Bos, P. Broersen, R. Bos, 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

The Accuracy of Time Series Analysis for Laser-Doppler Velocimetry

R. Bos, S. de Waele, R. Bos, 2000 .

Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations

X. Bombois, P. Van den Hof, R. Bos, 2004, Proceedings of the 2004 American Control Conference.

Spectral analysis of irregularly sampled data with autoregressive models

Piet M.T. Broersen, Stijn de Waele, R. Bos, 2002 .

Estimating Time Series Models from Irregularly Sampled Data

R. Bos, P.M.T. Broersen, 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

Monitoring of industrial processes using large scale first principles models

R. Bos, O. Bosgra, A. Heemink, 2006 .