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Linear parameter-varying subspace identification: A unified framework

Automatica (Oxford), 2021-01, Vol.123, p.109296, Article 109296

2021

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Heterogeneously parameterized tube model predictive control for LPV systems

Automatica (Oxford), 2020-01, Vol.111, p.108622, Article 108622

2020

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Deep subspace encoders for nonlinear system identification

Automatica (Oxford), 2023-10, Vol.156, p.111210, Article 111210

2023

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Koopman form of nonlinear systems with inputs

Automatica (Oxford), 2024-04, Vol.162, p.111525, Article 111525

2024

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Automated multi-objective system identification using grammar-based genetic programming

Automatica (Oxford), 2023-08, Vol.154, p.111017, Article 111017

2023

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Stabilizing non‐linear model predictive control using linear parameter‐varying embeddings and tubes

IET control theory & applications, 2021-07, Vol.15 (10), p.1404-1421

2021

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Stabilizing tube-based model predictive control: Terminal set and cost construction for LPV systems

Automatica (Oxford), 2017-11, Vol.85, p.137-144

2017

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Direct learning of LPV controllers from data

Automatica (Oxford), 2016-03, Vol.65, p.98-110

2016

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Refined instrumental variable methods for identification of LPV Box–Jenkins models

Automatica (Oxford), 2010-06, Vol.46 (6), p.959-967

2010

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Efficient implementation of Gaussian process–based predictive control by quadratic programming

IET control theory & applications, 2023-05, Vol.17 (8), p.968-984

2023

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The quest for the right kernel in Bayesian impulse response identification: The use of OBFs

Automatica (Oxford), 2018-01, Vol.87, p.318-329

2018

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Convex incremental dissipativity analysis of nonlinear systems

Automatica (Oxford), 2023-04, Vol.150, p.110859, Article 110859

2023

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A Tree Adjoining Grammar representation for models of stochastic dynamical systems

Automatica (Oxford), 2020-09, Vol.119, p.109099, Article 109099

2020

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State-space LPV model identification using kernelized machine learning

Automatica (Oxford), 2018-02, Vol.88, p.38-47

2018

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Affine linear parameter-varying embedding of non-linear models with improved accuracy and minimal overbounding

IET control theory & applications, 2020-12, Vol.14 (20), p.3363-3373

2020

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LPV system identification under noise corrupted scheduling and output signal observations

Automatica (Oxford), 2015-03, Vol.53, p.329-338

2015

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LPV-ARX representations of LPV state-space models with affine dependence

Systems & control letters, 2023-03, Vol.173, p.105459, Article 105459

2023

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An SDP approach for ℓ0-minimization: Application to ARX model segmentation

Automatica (Oxford), 2013-12, Vol.49 (12), p.3646-3653

2013

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Towards efficient maximum likelihood estimation of LPV-SS models

Automatica (Oxford), 2018-11, Vol.97, p.392-403

2018

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Continuous-time linear time-varying system identification with a frequency-domain kernel-based estimator

IET control theory & applications, 2017-02, Vol.11 (4), p.457-465

2017

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Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification

Automatica (Oxford), 2020-05, Vol.115, p.108914, Article 108914

2020

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Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach

Automatica (Oxford), 2018-11, Vol.97, p.92-103

2018

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A Comparison of the Systems for the Identification of Postoperative Acute Kidney Injury in Pediatric Cardiac Patients

The Annals of thoracic surgery, 2014, Vol.97 (1), p.202-210

2014

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An instrumental least squares support vector machine for nonlinear system identification

Automatica (Oxford), 2015-04, Vol.54, p.340-347

2015

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Successful cryopreservation and regeneration of a partridge colored Hungarian native chicken breed using primordial germ cells

Poultry science, 2021-08, Vol.100 (8), p.101207-101207, Article 101207

2021

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Linear parameter-varying subspace identification: A unified framework

Heterogeneously parameterized tube model predictive control for LPV systems

Deep subspace encoders for nonlinear system identification

Koopman form of nonlinear systems with inputs

Automated multi-objective system identification using grammar-based genetic programming

Stabilizing non‐linear model predictive control using linear parameter‐varying embeddings and tubes

Stabilizing tube-based model predictive control: Terminal set and cost construction for LPV systems

Direct learning of LPV controllers from data

Refined instrumental variable methods for identification of LPV Box–Jenkins models

Efficient implementation of Gaussian process–based predictive control by quadratic programming

The quest for the right kernel in Bayesian impulse response identification: The use of OBFs

Convex incremental dissipativity analysis of nonlinear systems

A Tree Adjoining Grammar representation for models of stochastic dynamical systems

State-space LPV model identification using kernelized machine learning

Affine linear parameter-varying embedding of non-linear models with improved accuracy and minimal overbounding

LPV system identification under noise corrupted scheduling and output signal observations

LPV-ARX representations of LPV state-space models with affine dependence

An SDP approach for ℓ0-minimization: Application to ARX model segmentation

Towards efficient maximum likelihood estimation of LPV-SS models

Continuous-time linear time-varying system identification with a frequency-domain kernel-based estimator

Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification

Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach

A Comparison of the Systems for the Identification of Postoperative Acute Kidney Injury in Pediatric Cardiac Patients

An instrumental least squares support vector machine for nonlinear system identification

Successful cryopreservation and regeneration of a partridge colored Hungarian native chicken breed using primordial germ cells

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