Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model

Dae Young Kim, Jin Bae Park, Young Hoon Joo

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

2 Citations (Scopus)

Abstract

This paper presents output feedback stabilization condition for nonlinear using artificial Takagi-Sugeno (T-S) fuzzy systems. Continuous membership functions of the T-S fuzzy model are represented by staircase ones. Stabilization condition in terms of linear-matrix-inequalities (LMIs) formulation is derived using the artificial T-S fuzzy model and Lyapunov function. Controller gains of output feedback T-S fuzzy systems are obtained using LMIs solutions. Finally, simulation example is given to illustrate the merits of the proposed method.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages96-100
Number of pages5
Publication statusPublished - 2012 Dec 1
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 2012 Oct 172012 Oct 21

Other

Other2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
CountryKorea, Republic of
CityJeju
Period12/10/1712/10/21

Fingerprint

Fuzzy systems
Linear matrix inequalities
Nonlinear systems
Stabilization
Feedback
Membership functions
Lyapunov functions
Controllers

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, D. Y., Park, J. B., & Joo, Y. H. (2012). Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model. In ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems (pp. 96-100). [6393411]
Kim, Dae Young ; Park, Jin Bae ; Joo, Young Hoon. / Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model. ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems. 2012. pp. 96-100
@inproceedings{d168274c1cff4f339c2dee5f41871f9d,
title = "Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model",
abstract = "This paper presents output feedback stabilization condition for nonlinear using artificial Takagi-Sugeno (T-S) fuzzy systems. Continuous membership functions of the T-S fuzzy model are represented by staircase ones. Stabilization condition in terms of linear-matrix-inequalities (LMIs) formulation is derived using the artificial T-S fuzzy model and Lyapunov function. Controller gains of output feedback T-S fuzzy systems are obtained using LMIs solutions. Finally, simulation example is given to illustrate the merits of the proposed method.",
author = "Kim, {Dae Young} and Park, {Jin Bae} and Joo, {Young Hoon}",
year = "2012",
month = "12",
day = "1",
language = "English",
isbn = "9781467322478",
pages = "96--100",
booktitle = "ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems",

}

Kim, DY, Park, JB & Joo, YH 2012, Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model. in ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems., 6393411, pp. 96-100, 2012 12th International Conference on Control, Automation and Systems, ICCAS 2012, Jeju, Korea, Republic of, 12/10/17.

Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model. / Kim, Dae Young; Park, Jin Bae; Joo, Young Hoon.

ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems. 2012. p. 96-100 6393411.

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

TY - GEN

T1 - Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model

AU - Kim, Dae Young

AU - Park, Jin Bae

AU - Joo, Young Hoon

PY - 2012/12/1

Y1 - 2012/12/1

N2 - This paper presents output feedback stabilization condition for nonlinear using artificial Takagi-Sugeno (T-S) fuzzy systems. Continuous membership functions of the T-S fuzzy model are represented by staircase ones. Stabilization condition in terms of linear-matrix-inequalities (LMIs) formulation is derived using the artificial T-S fuzzy model and Lyapunov function. Controller gains of output feedback T-S fuzzy systems are obtained using LMIs solutions. Finally, simulation example is given to illustrate the merits of the proposed method.

AB - This paper presents output feedback stabilization condition for nonlinear using artificial Takagi-Sugeno (T-S) fuzzy systems. Continuous membership functions of the T-S fuzzy model are represented by staircase ones. Stabilization condition in terms of linear-matrix-inequalities (LMIs) formulation is derived using the artificial T-S fuzzy model and Lyapunov function. Controller gains of output feedback T-S fuzzy systems are obtained using LMIs solutions. Finally, simulation example is given to illustrate the merits of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=84872576793&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872576793&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781467322478

SP - 96

EP - 100

BT - ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems

ER -

Kim DY, Park JB, Joo YH. Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model. In ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems. 2012. p. 96-100. 6393411