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

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ID: 190585
2011
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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.
Reference Key
shih2011mathematicalnew Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Kai-Shiuan Shih;Tzuu-Hseng S. Li;Shun-Hung Tsai
Journal journal of power sources
Year 2011
DOI
10.1155/2011/439324
URL
http://dx.doi.org/10.1155/2011/439324
Keywords
civil engineering (general)mathematics engineering (general)

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