DocumentCode :
2884198
Title :
Recent advances in industrial control
Author :
Yu, Hao ; Xie, Tiantian ; Wilamowski, Bogdan
Author_Institution :
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
4626
Lastpage :
4631
Abstract :
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.
Keywords :
Kalman filters; fuzzy reasoning; industrial control; least squares approximations; networked control systems; neurocontrollers; regression analysis; three-term control; variable structure systems; Kalman filter; PID algorithm; fuzzy inference systems; industrial applications; industrial control; least squares regression; network-based automation; neural networks; radial basis function networks; sliding-mode based control; Informatics; Kalman filters; Radial basis function networks; Sliding mode control; Stability analysis; Industrial Control; PID algorithm; fuzzy inference systems; neural networks; sliding-mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6120073
Filename :
6120073
Link To Document :
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