@inproceedings{d1fd18041ddf43b983b518033bb69562,
title = "Adaptive backstepping-based neural decentralized control for stochastic switched systems",
abstract = "This paper addresses the problem of decentralized adaptive neural output-feedback control for a class of uncertain switched nonlinear stochastic large-scale systems. A new adaptive neuarl output-feedback controller design method is developed under the framework of backstepping recursive design, adaptive control, and dynamic surface control technique. It is proved that the proposed controller can ensure that all signals of the resulting closed-loop system are the semi-globally uniformly ultimately mean square bounded.",
keywords = "adaptive control, decentralized control, neural network, switched systems",
author = "Huan Li and Ben Niu and Lixian Zhang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016 ; Conference date: 11-11-2016 Through 13-11-2016",
year = "2017",
month = jan,
day = "3",
doi = "10.1109/YAC.2016.7804900",
language = "英语",
series = "Proceedings - 2016 31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "261--266",
booktitle = "Proceedings - 2016 31st Youth Academic Annual Conference of Chinese Association of Automation, YAC 2016",
address = "美国",
}