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Fuzzy control on a laboratory environment

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3 Author(s)
Cipriano, A. ; Fac. of Eng., Univ. Catolica de Chile, Santiago, Chile ; Saez, D. ; Ramos, M.

In this paper a model based fuzzy controller is designed and implemented. This algorithm is applied, by simulation, to the control of an inverted pendulum and compared with a LQR controller and an adaptive network based fuzzy controller. The model based fuzzy controller is also applied to the control of an experimental inverted pendulum

Published in:

Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on  (Volume:2 )

Date of Conference:

10-14 Jul1995