Laurent Vanbeylen

According to our database1, Laurent Vanbeylen authored at least 18 papers between 2008 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2016
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization.
IEEE Trans. Instrum. Meas., 2016

2015
Structure discrimination in block-oriented models using linear approximations: A theoretic framework.
Autom., 2015

Design of excitations for structure discrimination of nonlinear systems, using the best linear approximation.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

2014
Identification of a nonlinear model for a glucoregulatory benchmark problem.
Biomed. Signal Process. Control., 2014

A fractional approach to identify Wiener-Hammerstein systems.
Autom., 2014

Identification of a block-structured model with several sources of nonlinearity.
Proceedings of the 13th European Control Conference, 2014

System identification in a real world.
Proceedings of the IEEE 13th International Workshop on Advanced Motion Control, 2014

2013
Nonlinear LFR Block-Oriented Model: Potential Benefits and Improved, User-Friendly Identification Method.
IEEE Trans. Instrum. Meas., 2013

Identification of systems with localised nonlinearity: From state-space to block-structured models.
Autom., 2013

Improved, user-friendly initialization for the identification of the nonlinear LFR block-oriented model.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

Comparison of some initialisation methods for the identification of nonlinear state-space models.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

Identification of nonlinear LFR systems with two nonlinearities.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013

How nonlinear system identification can benefit from recent time-varying tools: The time-varying best linear approximation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2011
A state-space view on locally-stable, globally-unstable nonlinear models driven by Gaussian burst inputs.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Nonlinear Induced Variance of Frequency Response Function Measurements.
IEEE Trans. Instrum. Meas., 2010

2009
Blind maximum-likelihood identification of wiener systems.
IEEE Trans. Signal Process., 2009

2008
Application of Blind Identification to Nonlinear Calibration.
IEEE Trans. Instrum. Meas., 2008

Blind maximum likelihood identification of Hammerstein systems.
Autom., 2008


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