2024
Remaining Useful Life prediction based on physics-informed data augmentation.
Reliab. Eng. Syst. Saf., 2024
Continuous-time model identification of the subglottal system.
Biomed. Signal Process. Control., 2024
Identification of Continuous-Time Linear Parameter Varying Systems With Noisy Scheduling Variable Using Local Regression.
IEEE Access, 2024
2023
Redundancy-Aware Physics Informed Neural Networks (R-PINNs) Based Learning of Nonlinear Algebraic Systems with Non-Measurable States.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2020
Recursive IV Identification of Continuous-Time Models With Time Delay From Sampled Data.
IEEE Trans. Control. Syst. Technol., 2020
2019
Benchmark problems for continuous-time model identification: Design aspects, results and perspectives.
Autom., 2019
2018
A Frequency Localizing Basis Function-Based IV Method for Wideband System Identification.
IEEE Trans. Control. Syst. Technol., 2018
Issues in separable identification of continuous-time models with time-delay.
Autom., 2018
Frequency domain identification of continuous-time output-error models with time-delay from relay feedback tests.
Autom., 2018
Predicting collisions: time-to-contact forecasting based on probabilistic segmentation and system identification.
Adv. Robotics, 2018
2017
Robust time-domain output error method for identifying continuous-time systems with time delay.
Syst. Control. Lett., 2017
Identification and control of nonlinear electro-mechanical systems.
Int. J. Control, 2017
EM-based identification of continuous-time ARMA Models from irregularly sampled data.
Autom., 2017
Comparison between the IDIM-IV method and the DIDIM method for industrial robots identification.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
A pragmatic and systematic statistical analysis for identification of industrial robots.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2016
Developments towards formalizing a benchmark for continuous-time model identification.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Real-time identification of linear continuous-time systems with slowly time-varying parameters.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Direct continuous-time approaches to system identification. Overview and benefits for practical applications.
Eur. J. Control, 2015
2014
The advantages of directly identifying continuous-time transfer function models in practical applications.
Int. J. Control, 2014
Special issue on 'Applications of Continuous-Time Model Identification and Estimation'.
Int. J. Control, 2014
Refined IV-based method for LPV partial differential equation model identification.
Proceedings of the 13th European Control Conference, 2014
Closed-loop identification of continuous-time systems from non-uniformly sampled data.
Proceedings of the 13th European Control Conference, 2014
Parameter and time-delay identification of continuous-time models from non-uniformly sampled data.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Instrumental variable methods for identifying partial differential equation models.
Int. J. Control, 2013
Parameter and differentiation order estimation in fractional models.
Autom., 2013
Identification of LPV partial differential equation models.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Frequency-domain instrumental variable based method for wide band system identification.
Proceedings of the American Control Conference, 2013
Identification of Advection-Diffusion Equation from a Limited Number of Spatial Locations.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
Refined Instrumental Variable Identification of Continuous-Time OE and BJ Models from Irregularly Sampled Data.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
2012
Instrumental variable scheme for closed-loop LPV model identification.
Autom., 2012
2011
Direct identification of continuous-time LPV models.
Proceedings of the American Control Conference, 2011
2010
Refined instrumental variable methods for identification of LPV Box-Jenkins models.
Autom., 2010
Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods.
Proceedings of the American Control Conference, 2010
2009
Unifying some higher-order statistic-based methods for errors-in-variables model identification.
Autom., 2009
Refined instrumental variable methods for identifying hammerstein models operating in closed loop.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Third-order cumulants based methods for continuous-time errors-in-variables model identification.
Autom., 2008
Refined instrumental variable methods for identification of Hammerstein continuous-time Box-Jenkins models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
Continuous-time model identification from noisy input/output measurements using fourth-order cumulants.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Identification of continuous-time Box-Jenkins models with arbitrary time-delay.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems.
Environ. Model. Softw., 2006
Identification of continuous-time errors-in-variables models.
Autom., 2006
2004
Generalised hold functions for fast sampling rates.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Instrumental variable methods for continuous-time model identification in closed-loop.
Proceedings of the 2004 American Control Conference, 2004
Time-domain approaches to continuous-time model identification of dynamical systems from sampled data.
Proceedings of the 2004 American Control Conference, 2004
2002
An approach to continuous-time model identification from non-uniformly sampled data.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Quantification of model uncertainties in closed-loop subspace identification.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002