LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control

Research output: Contributions to collected editions/worksChapterpeer-review

Standard

LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control. / Pöschke, Florian; Gauterin, Eckhard; Schulte, Horst.
New Trends in Observer-based Control: A Practical Guide to Process and Engineering Applications. ed. / Olfa Boubaker; Quanmin Zhu; Mgdi S. Mahmoud; Jose Ragot; Hamid Reza Karimi; Jorge Davila. Elsevier, 2019. p. 35-75.

Research output: Contributions to collected editions/worksChapterpeer-review

Harvard

Pöschke, F, Gauterin, E & Schulte, H 2019, LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control. in O Boubaker, Q Zhu, MS Mahmoud, J Ragot, HR Karimi & J Davila (eds), New Trends in Observer-based Control: A Practical Guide to Process and Engineering Applications. Elsevier, pp. 35-75. https://doi.org/10.1016/B978-0-12-817034-2.00015-0

APA

Pöschke, F., Gauterin, E., & Schulte, H. (2019). LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control. In O. Boubaker, Q. Zhu, M. S. Mahmoud, J. Ragot, H. R. Karimi, & J. Davila (Eds.), New Trends in Observer-based Control: A Practical Guide to Process and Engineering Applications (pp. 35-75). Elsevier. https://doi.org/10.1016/B978-0-12-817034-2.00015-0

Vancouver

Pöschke F, Gauterin E, Schulte H. LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control. In Boubaker O, Zhu Q, Mahmoud MS, Ragot J, Karimi HR, Davila J, editors, New Trends in Observer-based Control: A Practical Guide to Process and Engineering Applications. Elsevier. 2019. p. 35-75 doi: 10.1016/B978-0-12-817034-2.00015-0

Bibtex

@inbook{c8511ffffe5c48f481036b11e6567f2d,
title = "LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control",
abstract = "This chapter investigates the Takagi-Sugeno modeling approach for nonlinear control and observer design. Several results from the literature based on linear matrix inequalities are summarized and combined to provide a useful control design framework for nonlinear systems. Stability constraints, techniques to include region constraints of the resulting closed-loop dynamics, and robust criteria are discussed and formulated as linear matrix inequalities. A linear matrix inequality constraint for Takagi-Sugeno observers with unmeasurable premise variables based on the input-to-state property is proposed. By combining the presented linear matrix inequalities for the application to a wind turbine, two different nonlinear control schemes based on the convex system description are derived, and the implications from introducing the observer for the wind turbine application are discussed.",
keywords = "Disturbance observer, Linear matrix inequalities, Nonlinear control and observer design, Quasilinear parameter varying, Robust wind turbine control, Takagi-Sugeno modeling, Unmeasurable premise variable, Engineering",
author = "Florian P{\"o}schke and Eckhard Gauterin and Horst Schulte",
note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Inc. All rights reserved.",
year = "2019",
month = jan,
day = "1",
doi = "10.1016/B978-0-12-817034-2.00015-0",
language = "English",
isbn = "9780128170359",
pages = "35--75",
editor = "Olfa Boubaker and Quanmin Zhu and Mahmoud, {Mgdi S.} and Jose Ragot and Karimi, {Hamid Reza} and Jorge Davila",
booktitle = "New Trends in Observer-based Control",
publisher = "Elsevier",
address = "France",

}

RIS

TY - CHAP

T1 - LMI Region-Based Nonlinear Disturbance Observer With Application to Robust Wind Turbine Control

AU - Pöschke, Florian

AU - Gauterin, Eckhard

AU - Schulte, Horst

N1 - Publisher Copyright: © 2019 Elsevier Inc. All rights reserved.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This chapter investigates the Takagi-Sugeno modeling approach for nonlinear control and observer design. Several results from the literature based on linear matrix inequalities are summarized and combined to provide a useful control design framework for nonlinear systems. Stability constraints, techniques to include region constraints of the resulting closed-loop dynamics, and robust criteria are discussed and formulated as linear matrix inequalities. A linear matrix inequality constraint for Takagi-Sugeno observers with unmeasurable premise variables based on the input-to-state property is proposed. By combining the presented linear matrix inequalities for the application to a wind turbine, two different nonlinear control schemes based on the convex system description are derived, and the implications from introducing the observer for the wind turbine application are discussed.

AB - This chapter investigates the Takagi-Sugeno modeling approach for nonlinear control and observer design. Several results from the literature based on linear matrix inequalities are summarized and combined to provide a useful control design framework for nonlinear systems. Stability constraints, techniques to include region constraints of the resulting closed-loop dynamics, and robust criteria are discussed and formulated as linear matrix inequalities. A linear matrix inequality constraint for Takagi-Sugeno observers with unmeasurable premise variables based on the input-to-state property is proposed. By combining the presented linear matrix inequalities for the application to a wind turbine, two different nonlinear control schemes based on the convex system description are derived, and the implications from introducing the observer for the wind turbine application are discussed.

KW - Disturbance observer

KW - Linear matrix inequalities

KW - Nonlinear control and observer design

KW - Quasilinear parameter varying

KW - Robust wind turbine control

KW - Takagi-Sugeno modeling

KW - Unmeasurable premise variable

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85084005133&partnerID=8YFLogxK

U2 - 10.1016/B978-0-12-817034-2.00015-0

DO - 10.1016/B978-0-12-817034-2.00015-0

M3 - Chapter

AN - SCOPUS:85084005133

SN - 9780128170359

SP - 35

EP - 75

BT - New Trends in Observer-based Control

A2 - Boubaker, Olfa

A2 - Zhu, Quanmin

A2 - Mahmoud, Mgdi S.

A2 - Ragot, Jose

A2 - Karimi, Hamid Reza

A2 - Davila, Jorge

PB - Elsevier

ER -