New nonlinear controller for a class of chaotic systems based on adaptive backstepping fuzzy-immune control

Shun Hung Tsai, Kai Shiuan Shih, Tzuu Hseng S. Li

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

An adaptive backstepping fuzzy-immune controller for a class of chaotic systems is proposed. An adaptive backstepping fuzzy method and adaptive laws are used to approximate nonlinear functions and the unknown upper bounds of uncertainty, respectively. The proposed adaptive backstepping fuzzy-immune controller guarantees the stability of a class of chaotic systems while maintaining good tracking performance. The fuzzy-immune algorithm is used for mathematical calculations. The intelligence algorithm consists of the adaptive backstepping fuzzy method and a novel fuzzy-immune scheme which generates optimal parameters for the control schemes. Finally, two simulation examples are given to illustrate the effectiveness of the proposed approach.

Original languageEnglish
Article number439324
JournalMathematical Problems in Engineering
Volume2011
DOIs
Publication statusPublished - 2011 Sep 16

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All Science Journal Classification (ASJC) codes

  • Mathematics(all)
  • Engineering(all)

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