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research article

Robust control of systems with sector nonlinearities via convex optimization: A data-driven approach

Nicoletti, Achille  
•
Karimi, Alireza  
March 25, 2019
International Journal Of Robust And Nonlinear Control

In this paper, a new data-driven method for designing robust controllers is proposed for systemswith sector-bounded nonlinearities and multimodel uncertainties. The results from the circle criterion are used to generate necessary and sufficient convex constraints that guarantee the stability of the closed-loop system. The main feature of the proposed approach is that only the frequency response data of the linear part of the system is used for guaranteeing the stability of the closed-loop nonlinear system. Additionally, a convex optimization problem is formulated to ensure H-infinity performance with respect to the fundamental component of a sector-bounded nonlinearity. The case study illustrates how the proposed method can be used to control uncertain systems that are subject to sector-bounded nonlinearities.

  • Details
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Type
research article
DOI
10.1002/rnc.4439
Web of Science ID

WOS:000459631000010

Author(s)
Nicoletti, Achille  
•
Karimi, Alireza  
Date Issued

2019-03-25

Publisher

WILEY

Published in
International Journal Of Robust And Nonlinear Control
Volume

29

Issue

5

Start page

1361

End page

1376

Subjects

Automation & Control Systems

•

Engineering, Electrical & Electronic

•

Mathematics, Applied

•

Engineering

•

Mathematics

•

h-infinity control

•

data-driven control

•

robust control

•

sector nonlinearity

•

h-infinity-control

•

design

•

feedback

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
LA3  
LCSB  
Available on Infoscience
March 8, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/155309
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