Title :
PID Neural Network Control for Unsymmetry Multivariable Systems
Author_Institution :
Dept. of Inf. & Control Eng., Guangzhou Univ., China
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;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280578
