Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69206
Title: Adaptive nn control for a class of non-affine nonlinear systems with unknown control gain
Authors: Ren, B. 
Ge, S.S. 
Lee, T.H. 
Keywords: Adaptive
Neural networks
Non-affine
Nussbaum function
Issue Date: 2007
Source: Ren, B.,Ge, S.S.,Lee, T.H. (2007). Adaptive nn control for a class of non-affine nonlinear systems with unknown control gain. IFAC Proceedings Volumes (IFAC-PapersOnline) 3 (PART 1) : 163-168. ScholarBank@NUS Repository.
Abstract: In this paper, adaptive neural network (NN) control is presented for a class of non-affine nonlinear systems with unknown control gain. Using the Mean Value Theorem and backstepping method, we propose a constructive approach for adaptive NN control design. The Nussbaum function is used to relax the requirement on control direction. The semi-global uniformly ultimately boundedness (SGUUB) of the closed-loop system is achieved. In addition, the simulation study results are given to demonstrate the effectiveness of the proposed control. Copyright © 2007 IFAC.
Source Title: IFAC Proceedings Volumes (IFAC-PapersOnline)
URI: http://scholarbank.nus.edu.sg/handle/10635/69206
ISBN: 9783902661333
ISSN: 14746670
Appears in Collections:Staff Publications

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