Fuzzy control on a laboratory environment

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.

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