Analysis of robust control using stability theory of universal learning networks

Yunqing Yu, Kotaro Hirasawa, Takayuki Furuzuki, Junichi Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nth order asymptotic orbital stability analysis method has been proposed, which is a method to determine whether nonlinear system is stable or not with large fluctuations of the system states. In this paper, we discuss the stability of robust control of a nonlinear crane system using this method. The robust control system which is studied in this paper is more stable than ordinary control system even with the large disturbances. Nth order asymptotic orbital stability analysis is described by using the higher order derivatives of Universal Learning Networks (ULNs), and ULNs are tools for modeling, managing and controlling large scale complicated systems such as economic, social and living systems as well as industrial plants. In this paper, robust control system is constructed by ULNs too, and the controller is best tuned through learning. Finally, simulations of 1st order orbital change of a nonlinear crane system are carried out. From results of simulations, it is shown that the robust control method have better performance and robustness than commonly used method.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
PublisherIEEE
Volume5
Publication statusPublished - 1999
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

Other

Other1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
CityTokyo, Jpn
Period99/10/1299/10/15

Fingerprint

Robust control
Cranes
Control systems
Robustness (control systems)
Industrial plants
Large scale systems
Nonlinear systems
Derivatives
Controllers
Economics

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Yu, Y., Hirasawa, K., Furuzuki, T., & Murata, J. (1999). Analysis of robust control using stability theory of universal learning networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 5). IEEE.

Analysis of robust control using stability theory of universal learning networks. / Yu, Yunqing; Hirasawa, Kotaro; Furuzuki, Takayuki; Murata, Junichi.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 5 IEEE, 1999.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yu, Y, Hirasawa, K, Furuzuki, T & Murata, J 1999, Analysis of robust control using stability theory of universal learning networks. in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. vol. 5, IEEE, 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics', Tokyo, Jpn, 99/10/12.
Yu Y, Hirasawa K, Furuzuki T, Murata J. Analysis of robust control using stability theory of universal learning networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 5. IEEE. 1999
Yu, Yunqing ; Hirasawa, Kotaro ; Furuzuki, Takayuki ; Murata, Junichi. / Analysis of robust control using stability theory of universal learning networks. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 5 IEEE, 1999.
@inproceedings{5095b7d1c7064f5fb69cd2d1fb2ff63a,
title = "Analysis of robust control using stability theory of universal learning networks",
abstract = "Nth order asymptotic orbital stability analysis method has been proposed, which is a method to determine whether nonlinear system is stable or not with large fluctuations of the system states. In this paper, we discuss the stability of robust control of a nonlinear crane system using this method. The robust control system which is studied in this paper is more stable than ordinary control system even with the large disturbances. Nth order asymptotic orbital stability analysis is described by using the higher order derivatives of Universal Learning Networks (ULNs), and ULNs are tools for modeling, managing and controlling large scale complicated systems such as economic, social and living systems as well as industrial plants. In this paper, robust control system is constructed by ULNs too, and the controller is best tuned through learning. Finally, simulations of 1st order orbital change of a nonlinear crane system are carried out. From results of simulations, it is shown that the robust control method have better performance and robustness than commonly used method.",
author = "Yunqing Yu and Kotaro Hirasawa and Takayuki Furuzuki and Junichi Murata",
year = "1999",
language = "English",
volume = "5",
booktitle = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",
publisher = "IEEE",

}

TY - GEN

T1 - Analysis of robust control using stability theory of universal learning networks

AU - Yu, Yunqing

AU - Hirasawa, Kotaro

AU - Furuzuki, Takayuki

AU - Murata, Junichi

PY - 1999

Y1 - 1999

N2 - Nth order asymptotic orbital stability analysis method has been proposed, which is a method to determine whether nonlinear system is stable or not with large fluctuations of the system states. In this paper, we discuss the stability of robust control of a nonlinear crane system using this method. The robust control system which is studied in this paper is more stable than ordinary control system even with the large disturbances. Nth order asymptotic orbital stability analysis is described by using the higher order derivatives of Universal Learning Networks (ULNs), and ULNs are tools for modeling, managing and controlling large scale complicated systems such as economic, social and living systems as well as industrial plants. In this paper, robust control system is constructed by ULNs too, and the controller is best tuned through learning. Finally, simulations of 1st order orbital change of a nonlinear crane system are carried out. From results of simulations, it is shown that the robust control method have better performance and robustness than commonly used method.

AB - Nth order asymptotic orbital stability analysis method has been proposed, which is a method to determine whether nonlinear system is stable or not with large fluctuations of the system states. In this paper, we discuss the stability of robust control of a nonlinear crane system using this method. The robust control system which is studied in this paper is more stable than ordinary control system even with the large disturbances. Nth order asymptotic orbital stability analysis is described by using the higher order derivatives of Universal Learning Networks (ULNs), and ULNs are tools for modeling, managing and controlling large scale complicated systems such as economic, social and living systems as well as industrial plants. In this paper, robust control system is constructed by ULNs too, and the controller is best tuned through learning. Finally, simulations of 1st order orbital change of a nonlinear crane system are carried out. From results of simulations, it is shown that the robust control method have better performance and robustness than commonly used method.

UR - http://www.scopus.com/inward/record.url?scp=0033329412&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033329412&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033329412

VL - 5

BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

PB - IEEE

ER -