Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0218127402004930
Title: Uncertain chaotic system control via adaptive neural design
Authors: Ge, S.S. 
Wang, C.
Keywords: Chaos control
Robust adaptive NN design
Uncertain chaotic systems
Issue Date: 2002
Source: Ge, S.S., Wang, C. (2002). Uncertain chaotic system control via adaptive neural design. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering 12 (5) : 1097-1109. ScholarBank@NUS Repository. https://doi.org/10.1142/S0218127402004930
Abstract: Though chaotic behaviors are exhibited in many simple nonlinear models, physical chaotic systems are much more complex and contain many types of uncertainties. This paper presents a robust adaptive neural control scheme for a class of uncertain chaotic systems in the disturbed strict-feedback form, with both unknown nonlinearities and uncertain disturbances. To cope with the two types of uncertainties, we combine backstepping methodology with adaptive neural design and nonlinear damping techniques. A smooth singularity-free adaptive neural controller is presented, where nonlinear damping terms are used to counteract the disturbances. The differentiability problem in controlling the disturbed strict-feedback system is solved without employing norm operation, which is usually used in robust control design. The proposed controllers can be applied to a large class of uncertain chaotic systems in practical situations. Simulation studies are conducted to verify the effectiveness of the scheme.
Source Title: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/72118
ISSN: 02181274
DOI: 10.1142/S0218127402004930
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