nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control ⁎ ⁎ This work was supported by the Australian Research Council. This work has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement nr. 714663).
|
Wang, Ruigang |
|
|
52 |
28 |
p. 44-49 |
artikel |
2 |
Active Vibration Control of a Convertible Structure based on a Linear Parameter-Varying Model
|
Jirasek, R. |
|
|
52 |
28 |
p. 190-195 |
artikel |
3 |
Actuator and sensor fault estimation based on a proportional-integral quasi-LPV observer with inexact scheduling parameters ⁎ ⁎ This work is supported by Tecnologico Nacional de Mexico and the National Council of Science and Technology (CONACyT). The support is gratefully acknowledged. This work has been also partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the projects SCAV (ref. MINECO DPI2017-88403-R) and DEOCS (ref. MINECO DPI2016-76493), and by the AEI through the Maria de Maeztu Seal of Excellence to IRI (MDM-2016-0656) and the grant Juan de la Cierva-Formacion (FJCI-2016-29019).
|
Gómez-Peñate, S. |
|
|
52 |
28 |
p. 100-105 |
artikel |
4 |
Adaptive observer design for LPV systems
|
Pérez-Estrada, A.-J. |
|
|
52 |
28 |
p. 140-145 |
artikel |
5 |
Aircraft Gust Alleviation Preview Control with a Discrete-Time LPV Model in Consideration of the Elastic Mode
|
Uchida, Daisuke |
|
|
52 |
28 |
p. 184-189 |
artikel |
6 |
A Kernel Principal Component Regressor for LPV System Identification ⁎ ⁎ This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project: UID/EEA/50014/2019.
|
dos Santos, Paulo Lopes |
|
|
52 |
28 |
p. 7-12 |
artikel |
7 |
Analysis and design of quadratically bounded QPV control systems ⁎ ⁎ This work has been partially funded by the Spanish Government and FEDER through the projects CICYT DEOCS and SCAV (refs. MINECO DPI2016-76493, DPI2017-88403-R). This work has also been partially funded by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482), and by AGAUR and the Spanish Research Agency through the Maria de Maetzu Seal of Excellence to IRI (MDM-2016-0656).
|
Rotondo, Damiano |
|
|
52 |
28 |
p. 76-81 |
artikel |
8 |
An Atomic Norm Minimization Framework for Identification of Parameter Varying Nonlinear ARX Models
|
Singh, Rajiv |
|
|
52 |
28 |
p. 1-6 |
artikel |
9 |
A Scalings Approach to H2-Gain-Scheduling Synthesis without Elimination ⁎ ⁎ Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2075 - 390740016.
|
Rösinger, Christian A. |
|
|
52 |
28 |
p. 50-57 |
artikel |
10 |
Contents
|
|
|
|
52 |
28 |
p. i-vii |
artikel |
11 |
Continuous Identification of Driver Model Parameters via the Unscented Kalman Filter
|
Zhao, Yishen |
|
|
52 |
28 |
p. 126-133 |
artikel |
12 |
Data-Driven LPV Reference Tracking for a Control Moment Gyroscope ⁎ ⁎ This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement nr. 714663).
|
Bloemers, Tom |
|
|
52 |
28 |
p. 134-139 |
artikel |
13 |
D-stable Controller Design for Lipschitz NLPV System ⁎ ⁎ This work has been partially funded by the Spanish Government and FEDER through the projects CICYT DEOCS and SCAV (refs. MINECO DPI2016-76493, DPI2017-88403-R). This work has also been partially funded by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482), and by AGAUR and the Spanish Research Agency through the Maria de Maetzu Seal of Excellence to IRI (MDM-2016-0656) and the grant Juan de la Cierva-Formación (FJCI-2016-29019).
|
Yang, Ruicong |
|
|
52 |
28 |
p. 88-93 |
artikel |
14 |
Frequency Response Functions of Linear Parameter-Varying Systems
|
Schoukens, Maarten |
|
|
52 |
28 |
p. 32-37 |
artikel |
15 |
Gain-Scheduled Control via Convex Nonlinear Parameter Varying Models
|
Sala, Antonio |
|
|
52 |
28 |
p. 70-75 |
artikel |
16 |
Learning Based Approximate Model Predictive Control for Nonlinear Systems ⁎ ⁎ This work was partially supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences and the ÚNKP-18-4 New National Excellence Program of the Ministry of Human Capacities. It was also supported by the research program titled ”Exploring the Mathematical Foundations of Artificial Intelligence (2018-1.2.1-NKP-00008)”.
|
Gángó, D. |
|
|
52 |
28 |
p. 152-157 |
artikel |
17 |
Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability ⁎ ⁎ This work has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 714663). The results provided in this paper are the first steps towards incremental stability based LPV synthesis and further extensions and analysis is provided in Koelewijn et al. (2019).
|
Koelewijn, P.J.W. |
|
|
52 |
28 |
p. 38-43 |
artikel |
18 |
LPV and Nonlinear-based control of an Autonomous Quadcopter under variations of mass and moment of inertia ⁎ ⁎ We would like to express our greatest gratitude toward the late Professor Yasmina BESTAOUI-SEBBANE, Professeure des Universités à l’UFR Sciences et Technologies de l’Université d’Evry-Val-d’Essonne, without whom this project could not have gotten this far.
|
Pham, The Hung |
|
|
52 |
28 |
p. 176-183 |
artikel |
19 |
LPV-MPC Control for Autonomous Vehicles ⁎ ⁎ This work has been partially funded by the Spanish Government and FEDER through the projects CICYT DEOCS and SCAV (refs. MINECO DPI2016-76493, DPI2017-88403-R). This work has also been partially funded by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SAC) group grant (2017 SGR 482), and by AGAUR and the Spanish Research Agency through the Maria de Maetzu Seal of Excellence to IRI (MDM-2016-0656). The author is supported by a FI AGAUR grant (ref 2017 FI B00433).
|
Alcalá, Eugenio |
|
|
52 |
28 |
p. 106-113 |
artikel |
20 |
Modelling long-term vibration monitoring data with Gaussian Process time-series models ⁎ ⁎ Prof. E.N. Chatzi gratefully acknowledges the support of the ERC Starting Grant WINDMIL (ERC-2015-StG 679843) on “Smart Monitoring, Inspection and Life-Cycle Assessment of Wind Turbines”.
|
Avendaño-Valencia, Luis David |
|
|
52 |
28 |
p. 26-31 |
artikel |
21 |
Novel qLPV MPC Design with Least-Squares Scheduling Prediction ⁎ ⁎ This work has been supported by CNPq (305785/2015 — 0) and ITEA3 European project (15016) EMPHYSIS.
|
Morato, Marcelo Menezes |
|
|
52 |
28 |
p. 158-163 |
artikel |
22 |
On Behavioral Interpolation in Local LPV System Identification
|
Boef, P. den |
|
|
52 |
28 |
p. 20-25 |
artikel |
23 |
On robust LPV-based observation of fuel slosh dynamics for attitude control design
|
Biannic, Jean-Marc |
|
|
52 |
28 |
p. 170-175 |
artikel |
24 |
On the assignability of regularity coefficients and central exponents of discrete linear time-varying systems
|
Babiarz, Artur |
|
|
52 |
28 |
p. 64-69 |
artikel |
25 |
Output feedback control for bilinear systems: a polytopic approach ⁎ ⁎ This work was supported by University of Brasília and partially funded by FAPDF. M. Jungers has been partially supported by HANDY project ANR-18-CE40-0010-02.
|
Tognetti, Eduardo S. |
|
|
52 |
28 |
p. 58-63 |
artikel |
26 |
PMSG-based Wind Turbine Torque Harmonic Reduction Through LPV Control of EKF-Based Disturbance Estimation ⁎ ⁎ Research reported in this publication was supported by FEDER Program Poitou-Charentes of the European Union under award number PC158.
|
Salameh, Jack P. |
|
|
52 |
28 |
p. 196-201 |
artikel |
27 |
qLPV modelling of helicopter dynamics
|
Panza, Simone |
|
|
52 |
28 |
p. 82-87 |
artikel |
28 |
qLPV Predictive Control - A Benchmark Study on State Space vs Input-Output Approach ⁎ ⁎ HMC acknowledges support from CONACYT-Mexico.
|
Calderón, Horacio M. |
|
|
52 |
28 |
p. 146-151 |
artikel |
29 |
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs ⁎ ⁎ This work was partially funded by CPER Data project, co-financed by European Union with the financial support of European Regional Development Fund, French State and the French Region of Hauts-de-France, and by CNRS project PEPS blanc BayesRealForRNN.
|
Mejari, Manas |
|
|
52 |
28 |
p. 13-19 |
artikel |
30 |
Real-time Damper Force Estimation of Vehicle Electrorheological Suspension: A NonLinear Parameter Varying Approach ⁎ ⁎ This work has been partially supported by the 911 scholarship from Vietnamese government. The authors also thank the financial support of the ITEA3 European Project through EMPHYSIS (Embedded Systems With Physical Models in the Production Code Software) under Grant 15016.
|
Pham, Thanh-Phong |
|
|
52 |
28 |
p. 94-99 |
artikel |
31 |
Road surface estimation based LPV control design for autonomous vehicles
|
Fényes, Dániel |
|
|
52 |
28 |
p. 120-125 |
artikel |
32 |
SDRE Preview Control for a LPV Modelled Autonomous Vehicle ⁎ ⁎ The author Cagatay Cebeci would like to express his gratitude to the Turkish Ministry of National Education for the sponsorship of his studies.
|
Cebeci, Cagatay |
|
|
52 |
28 |
p. 114-119 |
artikel |
33 |
Wide Range Stabilization of a Pendubot using quasi-LPV Predictive Control
|
Cisneros, Pablo S.G. |
|
|
52 |
28 |
p. 164-169 |
artikel |