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|Title:||Adaptive backstepping control for a class of nonlinear systems using neural network approximations||Authors:||Tan, K.K.
|Issue Date:||10-May-2004||Citation:||Tan, K.K., Huang, S.N., Lee, T.H. (2004-05-10). Adaptive backstepping control for a class of nonlinear systems using neural network approximations. International Journal of Robust and Nonlinear Control 14 (7) : 643-664. ScholarBank@NUS Repository. https://doi.org/10.1002/rnc.898||Abstract:||In this paper, an adaptive neural network (NN) backstepping technique is developed for tracking control of a class of nonlinear systems. NNs are used to compensate for the unknown nonlinear functions in the system. A systematic backstepping approach is established to synthesize the adaptive NN control scheme that ensures the boundedness of all the signals in the closed-loop system, and yields a small tracking error. The issue of transient performance is also addressed under an analytical framework. The effectiveness of the proposed scheme is demonstrated by computer simulations. Copyright © 2004 John Wiley & Sons, Ltd.||Source Title:||International Journal of Robust and Nonlinear Control||URI:||http://scholarbank.nus.edu.sg/handle/10635/54885||ISSN:||10498923||DOI:||10.1002/rnc.898|
|Appears in Collections:||Staff Publications|
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