DocumentCode
3273602
Title
Control of a multivariable system by a neural network [inverted pendulum]
Author
Seikiguchi, M. ; Sugasaka, Tamami ; Nagata, Shigemi
Author_Institution
Fujitsu Lab. Ltd., Kanagawa, Japan
fYear
1991
fDate
9-11 Apr 1991
Firstpage
2644
Abstract
An inverted pendulum presents a typical problem of controlling a nonlinear multivariable system. In the paper a discussion is presented of inverted pendulum control by a neural network. The neutral network learns a control law through the trial and error method. In the simulation and actual system, it was possible to invert the pendulum stably at the target position after some trial and error
Keywords
learning systems; multivariable control systems; neural nets; nonlinear control systems; position control; inverted pendulum; learning systems; motions control; neural network; nonlinear multivariable system; position control; target position; trial and error method; Control systems; Control theory; Error correction; Fuzzy control; Laboratories; MIMO; Motion control; Neural networks; Nonlinear equations; Torque control;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location
Sacramento, CA
Print_ISBN
0-8186-2163-X
Type
conf
DOI
10.1109/ROBOT.1991.132028
Filename
132028
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