Title :
Decoupling control of multivariable time-varying systems based on PID neural network
Author :
Shu, Huailin ; Guo, Xiucai
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 strong coupled time varying system is decoupled and controlled. The paper displays the perfect performances of the PIDNN in the multivariable time-varying systems.
Keywords :
multivariable control systems; neurocontrollers; three-term control; time-varying systems; PID neural network; decoupling control; derivative neuron; integral neuron; multivariable time-varying system; proportional neuron; Automatic control; Automation; Control engineering; Control systems; Displays; Multi-layer neural network; Neural networks; Neurons; Three-term control; Time varying systems;
Conference_Titel :
Control Conference, 2004. 5th Asian
Conference_Location :
Melbourne, Victoria, Australia
Print_ISBN :
0-7803-8873-9
