Title :
The stabilization control of ball-beam using self-recurrent neural networks
Author :
Ho Tack, Han ; Gyu Choo, Yeon ; Geun Kim, Chang ; Woo Jung, Min
Author_Institution :
Dept. of Electron. Eng., Chinju Nat. Univ., Kyungnam, South Korea
Abstract :
In this paper, applications of self-recurrent neural networks based on an adaptive controller to control the stabilization of a ball-beam are considered. Therefore, a dynamic model for a ball-beam is derived, and then a comparative analysis is made with LQR and a neural network controller through simulation. The results are presented to illustrate the advantages and improved performance of the proposed stabilization controller over the conventional LQR controller
Keywords :
adaptive control; neurocontrollers; recurrent neural nets; stability; adaptive controller; ball-beam; dynamic model; neural network controller; self-recurrent neural networks; simulation; stabilization control; Adaptive control; Analytical models; Artificial neural networks; Control system synthesis; Control systems; Error correction; Neural networks; Nonlinear control systems; Nonlinear equations; Proportional control;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820159
