@inproceedings{d571dd0624d743f48f7cfb18f6eeecac,
title = "Disturbance prediction based active disturbance rejection control approach",
abstract = "Disturbance widely exists in control system. Active disturbance rejection control (ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in practice. The most important part of ADRC is extended state observer (ESO), which estimates the states of system and total disturbance. ESO regards internal disturbance and external disturbance as a total disturbance, estimates it and eliminates it in the control. The faster ESO estimates total disturbance, the more quickly controller eliminates it. This paper focuses on the discrete linear extended state observer (DLESO), and presents discrete predictive linear extended state observer (DPLESO). Stability and performances are analyzed. Simulation result shows that DPLESO has better performances for disturbance rejection than DLESO.",
keywords = "ADRC, LESO, discrete, disturbance, predictive linear extended state observer",
author = "Chongling Li and Tao Cai and Zeyu Han",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7554281",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5896--5900",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
address = "United States",
}