DocumentCode
707069
Title
Self-tuning neuro-PID for SIMO systems
Author
Omatu, S. ; Fujinaka, T. ; Kishida, Y. ; Yoshioka, M.
Author_Institution
Dept. of Comput. & Syst. Sci., Osaka Prefecture Univ., Sakai, Japan
fYear
1999
fDate
Aug. 31 1999-Sept. 3 1999
Firstpage
4324
Lastpage
4330
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; neurocontrollers; nonlinear control systems; pendulums; self-adjusting systems; stability; three-term control; PID gain tuning; SIMO systems; inverted pendulum stabilization; neural networks; self-tuning neuro-PID control system; single-input multioutput system; Biological neural networks; Jacobian matrices; Neurons; PD control; Tuning; Inverted pendulum; Neural networks; SIMO; Self-tuning PID;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1999 European
Conference_Location
Karlsruhe
Print_ISBN
978-3-9524173-5-5
Type
conf
Filename
7100014
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