@inproceedings{255d1c4bdb3143eea6a0fe1c7ee44da4,
title = "Recurrent neural network based tracking control",
abstract = "In this paper, a recurrent neural network (RNN) based robust tracking controller is designed for a class of multiple-input-multiple-output (MIMO) discrete time nonlinear systems. The RNN is used in the closed-loop system to estimate online unknown nonlinear system function. A multivariable robust adaptive gradient-descent training algorithm is developed to train RNN. The proposed neural control system guarantees the stability of the closed-loop system and good tracking performance is achieved.",
author = "Zhao Xu and Qing Song and Danwei Wang",
year = "2010",
doi = "10.1109/ICARCV.2010.5707971",
language = "英语",
isbn = "9781424478132",
series = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",
pages = "2454--2459",
booktitle = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010",
note = "11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 ; Conference date: 07-12-2010 Through 10-12-2010",
}