Closed-loop data-driven control of uncertain dynamic systems

被引：0
|
作者：
Chowdhury, FN [1 ]
机构：
[1] Univ Louisiana, Dept Elect & Comp Engn, Lafayette, LA 70504 USA
来源：
PROCEEDINGS OF THE 2001 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA'01) | 2001年
关键词：
data-driven control; dynamic systems; apparent model; Kalman filter;
D O I：
10.1109/CCA.2001.973312
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A combined system-identification and control technique is proposed in this paper. The identified model is of the same order as that of the controller. The method works very well except when the measurements are corrupted by high amounts of noise. Some computer simulation results are presented, comparing the performance of the proposed technique with that of a neural networks-based controller.
引用
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页码：1 / 6
页数：6
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