DocumentCode
2794072
Title
Application of Neural Network Simple Adaptive Control in Multivariable Coupling System
Author
Zhao, Baoyong ; Yin, Yixin
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing
Volume
1
fYear
2006
fDate
16-18 Oct. 2006
Firstpage
142
Lastpage
146
Abstract
For the nonlinear multivariable control system, a simple adaptive control calculation method based on neural network was proposed. By using neural network as its constitution unit, the simple implicit adaptive control system is formed. It takes full advantages of the ability of neural network to willfully approach the nonlinear function and its parallel distribution and easy access to hardware application. Moreover, it gives full scope to the property of independence between the simple adaptive control and the controlled object, and its simple structure and flexible variables adjustment permit its adaptability to study. The simulation experiments in the hot rolling looper system achieve desirable control and thus prove its validity and feasibility
Keywords
adaptive control; multivariable control systems; neurocontrollers; nonlinear control systems; adaptive control; multivariate coupling system; neural network; nonlinear multivariable control; Adaptive control; Automatic control; Constitution; Control system synthesis; Control systems; Couplings; MIMO; Neural networks; Nonlinear control systems; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location
Jinan
Print_ISBN
0-7695-2528-8
Type
conf
DOI
10.1109/ISDA.2006.104
Filename
4021425
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