DocumentCode
2230626
Title
Neuro-control for single-input multi-output systems
Author
Omatu, Sigeru ; Kishida, Yoshiyuki ; Yoshioka, Michifumi
Author_Institution
Coll. of Eng., Osaka Prefectural Univ., Sakai, Japan
Volume
1
fYear
1998
fDate
21-23 Apr 1998
Firstpage
202
Abstract
This paper is concerned with a new architecture of a self-tuning neuro-PID control system and its application to stabilization of an inverted pendulum. A single-input multi-output system is considered to control the inverted pendulum by using the PID controller. The PID gains are tuned by using two kinds of neural networks. The simulation results show effectiveness of the proposed approach
Keywords
adaptive control; multivariable control systems; neurocontrollers; nonlinear control systems; self-adjusting systems; stability; three-term control; SIMO systems; inverted pendulum; neuro-control; self-tuning neuro-PID control system; stabilization; Artificial neural networks; Automatic control; Control systems; Neural networks; Neurons; PD control; Pi control; Process control; Proportional control; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-4316-6
Type
conf
DOI
10.1109/KES.1998.725847
Filename
725847
Link To Document