Decentralized fuzzy logic controller design

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.

Original languageEnglish
Pages602-607
Number of pages6
Publication statusPublished - 1994 Dec 1
EventProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
Duration: 1994 Jun 261994 Jun 29

Other

OtherProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA
Period94/6/2694/6/29

Fingerprint

Logic Design
Chattering
Inverted Pendulum
Fuzzy Logic Controller
Nonlinear Interaction
Fuzzy rules
Sliding mode control
Sliding Mode Control
Pendulums
Performance Index
Large-scale Systems
Manipulator
Adaptive algorithms
Fuzzy Rules
Adaptive Algorithm
Controller Design
Decentralized
Fuzzy logic
Manipulators
Nonlinear systems

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Yeh, Z. M. (1994). Decentralized fuzzy logic controller design. 602-607. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .

Decentralized fuzzy logic controller design. / Yeh, Zong Mu.

1994. 602-607 Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .

Research output: Contribution to conferencePaper

Yeh, ZM 1994, 'Decentralized fuzzy logic controller design', Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, 94/6/26 - 94/6/29 pp. 602-607.
Yeh ZM. Decentralized fuzzy logic controller design. 1994. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .
Yeh, Zong Mu. / Decentralized fuzzy logic controller design. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .6 p.
@conference{90c4d907045d4154835a8631ae5fc921,
title = "Decentralized fuzzy logic controller design",
abstract = "This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.",
author = "Yeh, {Zong Mu}",
year = "1994",
month = "12",
day = "1",
language = "English",
pages = "602--607",
note = "Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) ; Conference date: 26-06-1994 Through 29-06-1994",

}

TY - CONF

T1 - Decentralized fuzzy logic controller design

AU - Yeh, Zong Mu

PY - 1994/12/1

Y1 - 1994/12/1

N2 - This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.

AB - This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.

UR - http://www.scopus.com/inward/record.url?scp=0028739337&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028739337&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0028739337

SP - 602

EP - 607

ER -