DocumentCode
3210577
Title
PID Neural Network Control for Unsymmetry Multivariable Systems
Author
Huailin Shu
Author_Institution
Dept. of Inf. & Control Eng., Guangzhou Univ., China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
1137
Lastpage
1142
Abstract
In this paper, the proportional (P) neuron, integral (I) neuron and derivative (D) neuron are introduced and a new neural network: PID neural network (PIDNN) is built. Based on the PID neural network, a multivariable system which has 3 inputs and 2 outputs is discussed and the paper displays the perfect performances of the PIDNN for the unsymmetry multivariable system.
Keywords
multivariable control systems; neurocontrollers; three-term control; PID neural network control; coordinate control; decoupling control; proportional-integral-derivative neuron; unsymmetry multivariable system; Control engineering; Control systems; Displays; Electronic mail; MIMO; Neural networks; Neurons; Samarium; Tellurium; Three-term control; coordinate control; decoupling control; multivariable system; neural control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280578
Filename
4060257
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