@inproceedings{83af1fc686e84553b8de038b4f607a50,
title = "Adaptive nn control for a class of non-affine nonlinear systems with unknown control gain",
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.",
keywords = "Adaptive, Neural networks, Non-affine, Nussbaum function",
author = "Beibei Ren and Ge, {Shuzhi Sam} and Lee, {Tong Heng}",
year = "2007",
doi = "10.3182/20071029-2-fr-4913.00028",
language = "English",
isbn = "9783902661333",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "PART 1",
pages = "163--168",
booktitle = "3rd IFAC Workshop on Advanced Fuzzy and Neural Control, AFNC 2007",
edition = "PART 1",
}