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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.