Frequency Response Data-driven LPV Controller Synthesis for MIMO Systems

Tom Bloemers; Tom Oomen; Roland Toth

doi:10.1109/LCSYS.2021.3139734

Frequency Response Data-driven LPV Controller Synthesis for MIMO Systems

Tom Bloemers, Tom Oomen, Roland Toth

Team Jan-Willem van Wingerden

Research output: Contribution to journal › Article › Scientific › peer-review

1 Citation (Scopus)

82 Downloads (Pure)

Abstract

The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate fast tuning. Key advantages are local stability and performance guarantees and a global controller parameterization. The effectiveness of the proposed methods are evaluated based on a simulation example.

Original language	English
Pages (from-to)	2264-2269
Journal	IEEE Control Systems Letters
Volume	6
DOIs	https://doi.org/10.1109/LCSYS.2021.3139734
Publication status	Published - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Control design
Frequency-domain analysis
Identification for control
linear parameter-varying systems.
Linear systems
MIMO communication
Robust stability
Stability analysis
Time-domain analysis

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Frequency_Response_Data-Driven_LPV_Controller_Synthesis_for_MIMO_SystemsFinal published version, 1.75 MB

Cite this

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title = "Frequency Response Data-driven LPV Controller Synthesis for MIMO Systems",

abstract = "The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate fast tuning. Key advantages are local stability and performance guarantees and a global controller parameterization. The effectiveness of the proposed methods are evaluated based on a simulation example.",

keywords = "Control design, Frequency-domain analysis, Identification for control, linear parameter-varying systems., Linear systems, MIMO communication, Robust stability, Stability analysis, Time-domain analysis",

author = "Tom Bloemers and Tom Oomen and Roland Toth",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

year = "2022",

doi = "10.1109/LCSYS.2021.3139734",

language = "English",

volume = "6",

pages = "2264--2269",

journal = "IEEE Control Systems Letters",

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AU - Bloemers, Tom

AU - Oomen, Tom

AU - Toth, Roland

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate fast tuning. Key advantages are local stability and performance guarantees and a global controller parameterization. The effectiveness of the proposed methods are evaluated based on a simulation example.

AB - The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate fast tuning. Key advantages are local stability and performance guarantees and a global controller parameterization. The effectiveness of the proposed methods are evaluated based on a simulation example.

KW - Control design

KW - Frequency-domain analysis

KW - Identification for control

KW - linear parameter-varying systems.

KW - Linear systems

KW - MIMO communication

KW - Robust stability

KW - Stability analysis

KW - Time-domain analysis

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DO - 10.1109/LCSYS.2021.3139734

M3 - Article

AN - SCOPUS:85122568149

SN - 2475-1456

VL - 6

SP - 2264

EP - 2269

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

ER -

Frequency Response Data-driven LPV Controller Synthesis for MIMO Systems

Abstract

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Keywords

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