Recent Advances in Industrial Control

被引：0
作者：
Yu, Hao [1 ]
Xie, Tiantian [1 ]
Wilamowski, Bogdan [1 ]
机构：
[1] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA
来源：
IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2011年
关键词：
Industrial Control; PID algorithm; neural networks; fuzzy inference systems; sliding-mode control; NETWORK; SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper presents the state-of-the-art study on the recently published literatures subjected to industrial control in various industrial applications. Controllers are classified into several types according to different control technologies, including PID algorithm, Kalman filter, least squares regression, network-based automation, fuzzy inference systems, neural networks, radial basis function networks, sliding-mode based control and so on. For each paper, a brief summary is given to introduce the related control technologies and applications.
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页数：6
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