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|Title:||Adaptive nn control for a class of non-affine nonlinear systems with unknown control gain||Authors:||Ren, B.
|Issue Date:||2007||Citation:||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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