Chaos suppression of generalized lorenz system: adaptive fuzzy sliding mode control approach

Chang Kuo Chen, Jun Juh Yan, Teh Lu Liao, Meei Ling Hung

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

2 Citations (Scopus)

Abstract

This study presents the chaos suppression for generalized Lorenz system via an adaptive fuzzy sliding mode controller (AFSMC). The proposed scheme can asymptotically drive the state trajectory of the generalized Lorenz system with unknown parameter to a desired switching surface and ensure the stability of the closed-loop system. In addition, the control signal is chattering free by the AFSMC reaching law that is inferred a set of fuzzy logic rules with output of sliding mode controller (SMC). A numerical simulation is included to illustrate the feasibility and effectiveness of the proposed scheme.

Original languageEnglish
Title of host publicationSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
Pages318-321
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan
Duration: 2008 Jun 252008 Jun 27

Publication series

NameSMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Other

Other2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
CountryJapan
CityMuroran
Period08-06-2508-06-27

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Industrial and Manufacturing Engineering

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