Standard

Adaptive stabilization of minimum-phase systems under quantized measurements. / Selivanov, Anton; Fradkov, Alexander.

в: IFAC-PapersOnLine, Том 53, 2020, стр. 3761-3766.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Selivanov, A & Fradkov, A 2020, 'Adaptive stabilization of minimum-phase systems under quantized measurements', IFAC-PapersOnLine, Том. 53, стр. 3761-3766. https://doi.org/10.1016/j.ifacol.2020.12.2064

APA

Selivanov, A., & Fradkov, A. (2020). Adaptive stabilization of minimum-phase systems under quantized measurements. IFAC-PapersOnLine, 53, 3761-3766. https://doi.org/10.1016/j.ifacol.2020.12.2064

Vancouver

Selivanov A, Fradkov A. Adaptive stabilization of minimum-phase systems under quantized measurements. IFAC-PapersOnLine. 2020;53:3761-3766. https://doi.org/10.1016/j.ifacol.2020.12.2064

Author

Selivanov, Anton ; Fradkov, Alexander. / Adaptive stabilization of minimum-phase systems under quantized measurements. в: IFAC-PapersOnLine. 2020 ; Том 53. стр. 3761-3766.

BibTeX

@article{ab6fa8da577a4f8fa65936efffb7500d,
title = "Adaptive stabilization of minimum-phase systems under quantized measurements",
abstract = "We construct an adaptive controller for a linear minimum-phase system of an arbitrary relative degree with an unknown bounded disturbance and dynamically quantized measurements. The key novelty is the extension of the shunting method (parallel feedforward compensator) to plants with bounded disturbances. This method leads to an augmented system of relative degree one that is stabilized by a passification-based adaptive controller. Moreover, we design a switching procedure for the controller parameters and the quantizer's zoom that ensures the state convergence from an arbitrary set to an ellipsoid whose size depends on the disturbance bound. The results are demonstrated by an example of an aircraft flight control.",
author = "Anton Selivanov and Alexander Fradkov",
note = "Publisher Copyright: Copyright {\textcopyright} 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0); 21st IFAC World Congress 2020 ; Conference date: 12-07-2020 Through 17-07-2020",
year = "2020",
doi = "10.1016/j.ifacol.2020.12.2064",
language = "English",
volume = "53",
pages = "3761--3766",
journal = "IFAC-PapersOnLine",
issn = "2405-8971",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Adaptive stabilization of minimum-phase systems under quantized measurements

AU - Selivanov, Anton

AU - Fradkov, Alexander

N1 - Publisher Copyright: Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

PY - 2020

Y1 - 2020

N2 - We construct an adaptive controller for a linear minimum-phase system of an arbitrary relative degree with an unknown bounded disturbance and dynamically quantized measurements. The key novelty is the extension of the shunting method (parallel feedforward compensator) to plants with bounded disturbances. This method leads to an augmented system of relative degree one that is stabilized by a passification-based adaptive controller. Moreover, we design a switching procedure for the controller parameters and the quantizer's zoom that ensures the state convergence from an arbitrary set to an ellipsoid whose size depends on the disturbance bound. The results are demonstrated by an example of an aircraft flight control.

AB - We construct an adaptive controller for a linear minimum-phase system of an arbitrary relative degree with an unknown bounded disturbance and dynamically quantized measurements. The key novelty is the extension of the shunting method (parallel feedforward compensator) to plants with bounded disturbances. This method leads to an augmented system of relative degree one that is stabilized by a passification-based adaptive controller. Moreover, we design a switching procedure for the controller parameters and the quantizer's zoom that ensures the state convergence from an arbitrary set to an ellipsoid whose size depends on the disturbance bound. The results are demonstrated by an example of an aircraft flight control.

UR - http://www.scopus.com/inward/record.url?scp=85107663003&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2020.12.2064

DO - 10.1016/j.ifacol.2020.12.2064

M3 - Conference article

AN - SCOPUS:85107663003

VL - 53

SP - 3761

EP - 3766

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

T2 - 21st IFAC World Congress 2020

Y2 - 12 July 2020 through 17 July 2020

ER -

ID: 87328786