@inproceedings{75efd34a367d4fd1ab3b2390fce598aa,
title = "Adaptive neural network control for a class of nonlinear systems",
abstract = "An adaptive neural network control scheme is developed for perturbed nonlinear systems with unknown functions. To avoid the curse of dimensionality, dynamic surface-control (DSC) technique is introduced in the progress of controller design. Moreover, the problem of singularity is solved in estimation of the unknown functions by designing a novel strategy of estimation. It is shown that the DSC-based controller can ensure semi-global uniform ultimate bounded of the closed-loop system, and the tracking error can be arbitrarily small with appropriate design parameters. A simulation example is used to demonstrate the validness of the proposed algorithm.",
keywords = "Adaptive neural control, Dynamic surface-control, Nonlinear systems",
author = "Chao Yang and Yingmin Jia and Changqing Chen",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; International Conference on Chinese Intelligent Systems Conference, CISC 2016 ; Conference date: 01-01-2016",
year = "2016",
doi = "10.1007/978-981-10-2335-4\_14",
language = "英语",
isbn = "9789811023347",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "143--151",
editor = "Weicun Zhang and Yingmin Jia and Hongbo Li and Junping Du",
booktitle = "Proceedings of 2016 Chinese Intelligent Systems Conference",
address = "德国",
}