H stabilization of fuzzy model based generalized Lorenz chaotic systems

Chun Fu Chuang, Wen June Wang, Ying Jen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this study, the conditions of fuzzy model based H stabilization are presented to stabilize the generalized Lorenz chaotic systems in finite time T and with pre-specified exponential convergence rate. Let the fuzzy state feedback controller be the form of parallel distributed compensation (PDC) and be designed to achieve the finite-time stability for the c1osed-loop system. The concept of Lyapunov theory, finite-time stability, H control and LMI-based approach are employed to derive the main result. Finally, the simulation results have been shown the validity of the proposed method.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Pages1306-1311
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey
Duration: 10 Oct 201013 Oct 2010

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Country/TerritoryTurkey
CityIstanbul
Period10/10/1013/10/10

Keywords

  • Finite-time stability
  • Generalized Lorenz chaotic systems
  • H control
  • Stabilization
  • Takagi-Sugeno (T-S) fuzzy model

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