Data-based approach for the control of a class of nonlinear affine systems

Zhuo Wang; Derong Liu

doi:10.1109/WCICA.2012.6358334

Data-based approach for the control of a class of nonlinear affine systems

Zhuo Wang^*
, Derong Liu

^*Corresponding author for this work

University of Illinois at Chicago

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a data-based output feedback control method is developed for a class of nonlinear affine systems. This method requires little prior knowledge about the system. It does not need to know or to build the mathematical model of the system. We introduce a fast sampling technique to measure the output signal, which contains information about the plant. The zero-order hold (ZOH) and the control switching techniques are also applied for information collection. Then, the feedback gain matrix is calculated and adjusted according to these sampled data. Computer simulation results demonstrate the feasibility of this data-based control method.

Original language	English
Title of host publication	WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages	2722-2727
Number of pages	6
DOIs	https://doi.org/10.1109/WCICA.2012.6358334
State	Published - 2012
Externally published	Yes
Event	10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China Duration: 6 Jul 2012 → 8 Jul 2012

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/Territory	China
City	Beijing
Period	6/07/12 → 8/07/12

Keywords

Data-based output feedback control
ZOH
control switching techniques
fast sampling technique
nonlinear affine systems

Access to Document

10.1109/WCICA.2012.6358334

Cite this

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title = "Data-based approach for the control of a class of nonlinear affine systems",

abstract = "In this paper, a data-based output feedback control method is developed for a class of nonlinear affine systems. This method requires little prior knowledge about the system. It does not need to know or to build the mathematical model of the system. We introduce a fast sampling technique to measure the output signal, which contains information about the plant. The zero-order hold (ZOH) and the control switching techniques are also applied for information collection. Then, the feedback gain matrix is calculated and adjusted according to these sampled data. Computer simulation results demonstrate the feasibility of this data-based control method.",

keywords = "Data-based output feedback control, ZOH, control switching techniques, fast sampling technique, nonlinear affine systems",

author = "Zhuo Wang and Derong Liu",

year = "2012",

doi = "10.1109/WCICA.2012.6358334",

language = "英语",

isbn = "9781467313988",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "2722--2727",

booktitle = "WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation",

note = "10th World Congress on Intelligent Control and Automation, WCICA 2012 ; Conference date: 06-07-2012 Through 08-07-2012",

}

Wang, Z & Liu, D 2012, Data-based approach for the control of a class of nonlinear affine systems. in WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation., 6358334, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 2722-2727, 10th World Congress on Intelligent Control and Automation, WCICA 2012, Beijing, China, 6/07/12. https://doi.org/10.1109/WCICA.2012.6358334

Data-based approach for the control of a class of nonlinear affine systems. / Wang, Zhuo; Liu, Derong.
WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012. p. 2722-2727 6358334 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Wang, Zhuo

AU - Liu, Derong

PY - 2012

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N2 - In this paper, a data-based output feedback control method is developed for a class of nonlinear affine systems. This method requires little prior knowledge about the system. It does not need to know or to build the mathematical model of the system. We introduce a fast sampling technique to measure the output signal, which contains information about the plant. The zero-order hold (ZOH) and the control switching techniques are also applied for information collection. Then, the feedback gain matrix is calculated and adjusted according to these sampled data. Computer simulation results demonstrate the feasibility of this data-based control method.

AB - In this paper, a data-based output feedback control method is developed for a class of nonlinear affine systems. This method requires little prior knowledge about the system. It does not need to know or to build the mathematical model of the system. We introduce a fast sampling technique to measure the output signal, which contains information about the plant. The zero-order hold (ZOH) and the control switching techniques are also applied for information collection. Then, the feedback gain matrix is calculated and adjusted according to these sampled data. Computer simulation results demonstrate the feasibility of this data-based control method.

KW - Data-based output feedback control

KW - ZOH

KW - control switching techniques

KW - fast sampling technique

KW - nonlinear affine systems

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DO - 10.1109/WCICA.2012.6358334

M3 - 会议稿件

AN - SCOPUS:84872302382

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T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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EP - 2727

BT - WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation

T2 - 10th World Congress on Intelligent Control and Automation, WCICA 2012

Y2 - 6 July 2012 through 8 July 2012

ER -

Data-based approach for the control of a class of nonlinear affine systems

Abstract

Publication series

Conference

Keywords

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