rSOESGOPE Method Applied to Four-Tank System Modeling

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

rSOESGOPE Method Applied to Four-Tank System Modeling. / Dos Santos Neto, Accacio Ferreira; Dos Santos, Murillo Ferreira; De Mello Honorio, Leonardo et al.
Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. Hrsg. / Daniel Drotos; Rabab Benotsmane; Attila Karoly Varga; Attila Trohak; Jozsef Vasarhelyi. Institute of Electrical and Electronics Engineers Inc., 2023. S. 141-146 (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Dos Santos Neto, AF, Dos Santos, MF, De Mello Honorio, L & Mercorelli, P 2023, rSOESGOPE Method Applied to Four-Tank System Modeling. in D Drotos, R Benotsmane, AK Varga, A Trohak & J Vasarhelyi (Hrsg.), Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023, Institute of Electrical and Electronics Engineers Inc., S. 141-146, 24th International Carpathian Control Conference, Sinaia, Rumänien, 12.05.23. https://doi.org/10.1109/ICCC57093.2023.10178970

APA

Dos Santos Neto, A. F., Dos Santos, M. F., De Mello Honorio, L., & Mercorelli, P. (2023). rSOESGOPE Method Applied to Four-Tank System Modeling. In D. Drotos, R. Benotsmane, A. K. Varga, A. Trohak, & J. Vasarhelyi (Hrsg.), Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023 (S. 141-146). (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCC57093.2023.10178970

Vancouver

Dos Santos Neto AF, Dos Santos MF, De Mello Honorio L, Mercorelli P. rSOESGOPE Method Applied to Four-Tank System Modeling. in Drotos D, Benotsmane R, Varga AK, Trohak A, Vasarhelyi J, Hrsg., Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. S. 141-146. (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023). doi: 10.1109/ICCC57093.2023.10178970

Bibtex

@inbook{2498511c0d6e46c48e77b06ef97312f3,
title = "rSOESGOPE Method Applied to Four-Tank System Modeling",
abstract = "It's known that the design of identification signals plays a fundamental role in the estimation quality of dynamic systems models. Well-designed signals are able to excite the system's dynamics to be later identified and represented in a model. This work presents the application of the rSOESGOPE (robust Sub-Optimal Excitation Signal Generation and Optimal Parameter Estimation) Method, which proposes the identification of robust parametric models from the use of multiple identification signals. In this perspective, the identification experiment is composed of optimized signals of the type Amplitude-modulated Pseudo Random Binary Signal (APRBS), designed by an approach composed of the Particle Swarm Optimization (PSO) and by the Interior-Point Method (IPM). To verify the effectiveness of the methodology, it was decided to study the classic problem of modeling the four-tank system, investigating the use of multiple optimized identification signals.",
keywords = "Four-Tank System, Identification Signals Design, Optimization, Robust Parameter Estimation, System Identification, Engineering",
author = "{Dos Santos Neto}, {Accacio Ferreira} and {Dos Santos}, {Murillo Ferreira} and {De Mello Honorio}, Leonardo and Paolo Mercorelli",
note = "Funding Information: The author would like to thank CEFET-MG and the Le-uphana University of L{\"u}neburg for their financial support. Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th International Carpathian Control Conference, ICCC 2023 ; Conference date: 12-05-2023 Through 14-05-2023",
year = "2023",
month = jun,
day = "12",
doi = "10.1109/ICCC57093.2023.10178970",
language = "English",
isbn = "979-8-3503-1023-8",
series = "Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "141--146",
editor = "Daniel Drotos and Rabab Benotsmane and Varga, {Attila Karoly} and Attila Trohak and Jozsef Vasarhelyi",
booktitle = "Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023",
address = "United States",

}

RIS

TY - CHAP

T1 - rSOESGOPE Method Applied to Four-Tank System Modeling

AU - Dos Santos Neto, Accacio Ferreira

AU - Dos Santos, Murillo Ferreira

AU - De Mello Honorio, Leonardo

AU - Mercorelli, Paolo

N1 - Conference code: 24

PY - 2023/6/12

Y1 - 2023/6/12

N2 - It's known that the design of identification signals plays a fundamental role in the estimation quality of dynamic systems models. Well-designed signals are able to excite the system's dynamics to be later identified and represented in a model. This work presents the application of the rSOESGOPE (robust Sub-Optimal Excitation Signal Generation and Optimal Parameter Estimation) Method, which proposes the identification of robust parametric models from the use of multiple identification signals. In this perspective, the identification experiment is composed of optimized signals of the type Amplitude-modulated Pseudo Random Binary Signal (APRBS), designed by an approach composed of the Particle Swarm Optimization (PSO) and by the Interior-Point Method (IPM). To verify the effectiveness of the methodology, it was decided to study the classic problem of modeling the four-tank system, investigating the use of multiple optimized identification signals.

AB - It's known that the design of identification signals plays a fundamental role in the estimation quality of dynamic systems models. Well-designed signals are able to excite the system's dynamics to be later identified and represented in a model. This work presents the application of the rSOESGOPE (robust Sub-Optimal Excitation Signal Generation and Optimal Parameter Estimation) Method, which proposes the identification of robust parametric models from the use of multiple identification signals. In this perspective, the identification experiment is composed of optimized signals of the type Amplitude-modulated Pseudo Random Binary Signal (APRBS), designed by an approach composed of the Particle Swarm Optimization (PSO) and by the Interior-Point Method (IPM). To verify the effectiveness of the methodology, it was decided to study the classic problem of modeling the four-tank system, investigating the use of multiple optimized identification signals.

KW - Four-Tank System

KW - Identification Signals Design

KW - Optimization

KW - Robust Parameter Estimation

KW - System Identification

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85166477674&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e5313ca2-9ec0-36a1-a540-e04990b81062/

U2 - 10.1109/ICCC57093.2023.10178970

DO - 10.1109/ICCC57093.2023.10178970

M3 - Article in conference proceedings

AN - SCOPUS:85166477674

SN - 979-8-3503-1023-8

T3 - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023

SP - 141

EP - 146

BT - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023

A2 - Drotos, Daniel

A2 - Benotsmane, Rabab

A2 - Varga, Attila Karoly

A2 - Trohak, Attila

A2 - Vasarhelyi, Jozsef

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Carpathian Control Conference

Y2 - 12 May 2023 through 14 May 2023

ER -

DOI