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| 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 | 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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