Fuzzy sliding mode control of nonlinear system

Chen Sheng Ting, Tzuu-Hseng S. Li, Fan Chu Kung

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

Original languageEnglish
Pages1620-1625
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
Period94-06-2694-06-29

Fingerprint

Fuzzy Sliding Mode Control
Sliding mode control
Fuzzy control
Fuzzy Control
Nonlinear systems
Nonlinear Systems
Variable Structure Systems
Upper bound
Unmodeled Dynamics
Fuzzy Logic Control
Nonlinear Control Systems
Fuzzy Inference
Systems Theory
Nonlinear control systems
Fuzzy inference
System theory
Uncertainty
Unknown

All Science Journal Classification (ASJC) codes

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

Cite this

Ting, C. S., Li, T-H. S., & Kung, F. C. (1994). Fuzzy sliding mode control of nonlinear system. 1620-1625. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .
Ting, Chen Sheng ; Li, Tzuu-Hseng S. ; Kung, Fan Chu. / Fuzzy sliding mode control of nonlinear system. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .6 p.
@conference{11057bc8af0e4025b0d9d117960befc9,
title = "Fuzzy sliding mode control of nonlinear system",
abstract = "The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.",
author = "Ting, {Chen Sheng} and Li, {Tzuu-Hseng S.} and Kung, {Fan Chu}",
year = "1994",
month = "12",
day = "1",
language = "English",
pages = "1620--1625",
note = "Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) ; Conference date: 26-06-1994 Through 29-06-1994",

}

Ting, CS, Li, T-HS & Kung, FC 1994, 'Fuzzy sliding mode control of nonlinear system', Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, 94-06-26 - 94-06-29 pp. 1620-1625.

Fuzzy sliding mode control of nonlinear system. / Ting, Chen Sheng; Li, Tzuu-Hseng S.; Kung, Fan Chu.

1994. 1620-1625 Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Fuzzy sliding mode control of nonlinear system

AU - Ting, Chen Sheng

AU - Li, Tzuu-Hseng S.

AU - Kung, Fan Chu

PY - 1994/12/1

Y1 - 1994/12/1

N2 - The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

AB - The unmodeled dynamics of nonlinear control system is studied by using fuzzy control approach. Based on variable structure system (VSS) theory, this paper presents two fuzzy control schemes. As the upper bound of system uncertainty is known, it can be used as a clue to form fuzzy control logic. The fuzzy inference provides an estimation for the unknown upper bound. Examples are given to illustrate the application of the proposed methods.

UR - http://www.scopus.com/inward/record.url?scp=0028739975&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028739975&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0028739975

SP - 1620

EP - 1625

ER -

Ting CS, Li T-HS, Kung FC. Fuzzy sliding mode control of nonlinear system. 1994. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .