@article{c9b596ebead94e648349549025d57529,
title = "Robust adaptive neural control for a class of time-varying delay systems with backlash-like hysteresis input",
abstract = "This paper proposes a robust adaptive dynamic surface control (DSC) scheme for a class of time-varying delay systems with backlash-like hysteresis input. The main features of the proposed DSC method are that 1) by using a transformation function, the prescribed transient performance of the tracking error can be guaranteed; 2) by estimating the norm of the unknown weighted vector of the neural network, the computational burden can be greatly reduced; 3) by using the DSC method, the explosion of complexity problem is eliminated. It is proved that the proposed scheme guarantees all the closed-loop signals being uniformly ultimately bounded. The simulation results show the validity of the proposed control scheme.",
keywords = "Backlash-like hysteresis, Dynamic surface control, Prescribed tracking error performance, Unknown time-varying delay",
author = "Xiuyu Zhang and Zhi Li and Su, {Chun Yi} and Xinkai Chen and Jianguo Wang and Linlin Xia",
note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grants 61304015, U1201244, 61228301, 61411140039, and 51176028, in part by the China Postdoctoral Science Foundation under Grant 2013M540839, in part by the Emerging Industries of Strategic Importance of Guangdong Province of China under Grant 2012A090100012, in part by the Nature Science Foundation of Jilin Province underGrant 20140101059JC, in part by the Outstanding Young Scholar Project of Jilin City under Grant 2013625002, in part by the Twelfth FiveYear Scientific Research Plan of Jilin Province under Grant [2014]111 Publisher Copyright: {\textcopyright}2015 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd.",
year = "2016",
month = may,
day = "1",
doi = "10.1002/asjc.1182",
language = "English",
volume = "18",
pages = "1087--1101",
journal = "Asian Journal of Control",
issn = "1561-8625",
publisher = "National Taiwan University (IEEB)",
number = "3",
}