Title :
The Property of PID Elman Neural Network and Its Application in Identification of Hydraulic Unit
Author :
Ji, Qiao-Ling ; Qi, Wei-Min
Author_Institution :
Wuhan Univ. of Sci. & Eng., Wuhan
fDate :
May 30 2007-June 1 2007
Abstract :
Elman neural network was one of the dynamic recurrent neural networks. In this paper, a modified Elman network was introduced first. Then we proposed a PID Elman neural network and its learning algorithms are discussed in detail. Simulation results based on ideal mathematical model and hydraulic unit model show that the PID Elman network is prior to the modified Elman network in identifying nonlinear dynamic system.
Keywords :
hydraulic systems; learning (artificial intelligence); recurrent neural nets; PID Elman neural network; dynamic recurrent neural networks; hydraulic unit identification; learning algorithms; nonlinear dynamic system; Automatic control; Automation; Feedforward systems; Mathematical model; Mechanical factors; Neural networks; Nonlinear dynamical systems; Recurrent neural networks; System identification; Three-term control; Elman neural network; PID Elman; nonlinear dynamic system;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376670
