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
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;
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
DOI :
10.1109/KES.1998.725847
