Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices

Tom Oomen; Cristian R. Rojas

doi:10.1016/j.automatica.2023.111505

Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices

Tom Oomen^*, Cristian R. Rojas

^*Corresponding author for this work

Team Jan-Willem van Wingerden

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

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Abstract

A direct data-driven iterative algorithm is developed to accurately estimate the H_∞ norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real system.

Original language	English
Article number	111505
Number of pages	6
Journal	Automatica
Volume	161
DOIs	https://doi.org/10.1016/j.automatica.2023.111505
Publication status	Published - 2024

Bibliographical note

This work is part of the research programme VIDI with project number 15698, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO), by the Digital Futures project EXTREMUM, and by the Swedish Research Council under contract number 2016-06079 (NewLEADS).

Keywords

Data-driven control
Data-driven robust control
Identification and control methods
Identification for control
Input and excitation design

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10.1016/j.automatica.2023.111505

1-s2.0-S0005109823006751-mainFinal published version, 465 KBLicence: CC BY

Cite this

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keywords = "Data-driven control, Data-driven robust control, Identification and control methods, Identification for control, Input and excitation design",

author = "Tom Oomen and Rojas, {Cristian R.}",

note = "This work is part of the research programme VIDI with project number 15698, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO), by the Digital Futures project EXTREMUM, and by the Swedish Research Council under contract number 2016-06079 (NewLEADS). ",

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AU - Rojas, Cristian R.

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PY - 2024

Y1 - 2024

N2 - A direct data-driven iterative algorithm is developed to accurately estimate the H∞ norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real system.

AB - A direct data-driven iterative algorithm is developed to accurately estimate the H∞ norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real system.

KW - Data-driven control

KW - Data-driven robust control

KW - Identification and control methods

KW - Identification for control

KW - Input and excitation design

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VL - 161

JO - Automatica

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ER -

Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices

Abstract

Bibliographical note

Keywords

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