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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Generalization Backstepping Method Based on...

Generalization Backstepping Method Based on Stabilization of Parameters Perturbation Lu Chaos Using Adaptive Neuro-Fuzzy Inference System

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Abstract:

This study deals with the control and synchronization chaos using Generalized Backstepping Method (GBM). This new method to control nonlinear systems was called generalized backstepping method because of its similarity to Backstepping Method (BM) but its more abilities to control systems than it. GBM could achieve better performance than BM in respect of lower signal control, short settling time and overshoot, control ability of MIMO systems and non strictly feedback systems. GBM consists of parameters which accept positive values. The parameters are usually chosen optional. The system responded differently for each value. This paper introduce a novel adaptive neuro fuzzy control method which trained by different error data to achieve optimal parameters. So with optimal parameters controller can stabilize the Lu chaos in much quicker than GBM.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

3925-3931

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.3925

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Online since:

November 2011

Authors:

Ali Reza Sahab

Keywords:

ANFIS, Chaos, Generalized Backstepping Method, Lyapunov

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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