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APROCS SIGNED

Automated Linear Parameter-Varying Modeling and Control Synthesis for Nonlinear Complex Systems

Total Cost €

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EC-Contrib. €

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Partnership

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Project "APROCS" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT EINDHOVEN 

Organization address
address: GROENE LOPER 3
city: EINDHOVEN
postcode: 5612 AE
website: www.tue.nl/en

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 1˙493˙561 €
 EC max contribution 1˙493˙561 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) coordinator 1˙493˙561.00

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 Project objective

Linear Parameter-Varying (LPV) systems are flexible mathematical models capable of representing Nonlinear (NL)/Time-Varying (TV) dynamical behaviors of complex physical systems (e.g., wafer scanners, car engines, chemical reactors), often encountered in engineering, via a linear structure. The LPV framework provides computationally efficient and robust approaches to synthesize digital controllers that can ensure desired operation of such systems - making it attractive to (i) high-tech mechatronic, (ii) automotive and (iii) chemical-process applications. Such a framework is important to meet with the increasing operational demands of systems in these industrial sectors and to realize future technological targets. However, recent studies have shown that, to fully exploit the potential of the LPV framework, a number of limiting factors of the underlying theory ask a for serious innovation, as currently it is not understood how to (1) automate exact and low-complexity LPV modeling of real-world applications and how to refine uncertain aspects of these models efficiently by the help of measured data, (2) incorporate control objectives directly into modeling and to develop model reduction approaches for control, and (3) how to see modeling & control synthesis as a unified, closed-loop system synthesis approach directly oriented for the underlying NL/TV system. Furthermore, due to the increasingly cyber-physical nature of applications, (4) control synthesis is needed in a plug & play fashion, where if sub-systems are modified or exchanged, then the control design and the model of the whole system are only incrementally updated. This project aims to surmount Challenges (1)-(4) by establishing an innovative revolution of the LPV framework supported by a software suite and extensive empirical studies on real-world industrial applications; with a potential to ensure a leading role of technological innovation of the EU in the high-impact industrial sectors (i)-(iii).

 Publications

year authors and title journal last update
List of publications.
2019 Maarten Schoukens, Roland Tóth
Frequency Response Functions of Linear Parameter-Varying Systems
published pages: 32-37, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.344
IFAC-PapersOnLine 52/28 2020-04-24
2019 Tom Bloemers, Roland Tóth, Tom Oomen
Data-Driven LPV Reference Tracking for a Control Moment Gyroscope
published pages: 134-139, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.360
IFAC-PapersOnLine 52/28 2020-04-24
2019 P.J.W. Koelewijn, R. Tóth, H. Nijmeijer
Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability
published pages: 38-43, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.345
IFAC-PapersOnLine 52/28 2020-04-24
2019 D. Gángó, T. Péni, R. Tóth
Learning Based Approximate Model Predictive Control for Nonlinear Systems
published pages: 152-157, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.363
IFAC-PapersOnLine 52/28 2020-04-24
2019 P. den Boef, R. Tóth, M. Schoukens
On Behavioral Interpolation in Local LPV System Identification
published pages: 20-25, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.341
IFAC-PapersOnLine 52/28 2020-04-24
2019 Tom A.H. Bloemers, Tom A.E. Oomen, Roland Toth
Data-driven LPV controller synthesis in the frequency-domain
published pages: , ISSN: , DOI:
28th European Research Network on System Identification (ERNSI) workshop 22 Sep 2019 2020-04-24
2019 Ruigang Wang, Roland Tóth, Ian R. Manchester
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control
published pages: 44-49, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.346
IFAC-PapersOnLine 52/28 2020-04-24
2020 Vincent Laurain, Roland Tóth, Dario Piga, Mohamed Abdelmonim Hassan Darwish
Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification
published pages: 108914, ISSN: 0005-1098, DOI: 10.1016/j.automatica.2020.108914
Automatica 115 2020-04-24
2019 M. Schoukens, R. Toth
Identification of Nonlinear LFR Systems starting from the Best Linear Approximation
published pages: 44, ISSN: , DOI:
Proc. of The Workshop on Nonlinear System Identification Benchmarks 4 2019-05-22
2018 P.J.W. Koelewijn, P.S.G. Cisneros, H. Werner, R. Tóth
LPV Control of a Gyroscope with Inverted Pendulum Attachment
published pages: 49-54, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.11.169
IFAC-PapersOnLine 51/26 2019-05-14
2018 Pepijn Bastiaan Cox, Roland Tóth, Mihály Petreczky
Towards efficient maximum likelihood estimation of LPV-SS models
published pages: 392-403, ISSN: 0005-1098, DOI: 10.1016/j.automatica.2018.08.021
Automatica 97 2019-05-14
2018 Maarten Schoukens, Roland Tóth
Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems
published pages: 94-99, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.11.162
IFAC-PapersOnLine 51/26 2019-05-14
2018 Maarten Schoukens, Roland Tóth
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples
published pages: 419-424, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.09.181
IFAC-PapersOnLine 51/15 2019-05-14
2018 Pepijn B. Cox, Siep Weiland, Roland Toth
Affine Parameter-Dependent Lyapunov Functions for LPV Systems With Affine Dependence
published pages: 3865-3872, ISSN: 0018-9286, DOI: 10.1109/TAC.2018.2824982
IEEE Transactions on Automatic Control 63/11 2019-05-14
2018 Thomas T.R. van de Wiel, Roland Tóth, Vsevolod I. Kiriouchine
Comparison of Parameter-Varying Decoupling Based Control Schemes for a Quadrotor
published pages: 55-61, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.11.168
IFAC-PapersOnLine 51/26 2019-05-14

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