Adaptive Neuro-Fuzzy control of an unmanned bicycle
نویسندگان
چکیده
In this work, an adaptive critic-based neuro-fuzzy is presented for an unmanned bicycle. The only information available for the critic agent is the system feedback which is interpreted as the last action the controller has performed in the previous state. The signal produced by the critic agent is used alongside the back propagation of error algorithm to tune online conclusion parts of the fuzzy inference rules. Stability and roll angle tracking controls for an unmanned bicycle are presented. The effectiveness of the control schemes is proved by simulation results. Keywords— Adaptive Neuro-fuzzy controller, unmanned bicycle, Stability, Roll angle tracking.
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Design and implementation of an adaptive critic-based neuro-fuzzy controller on an unmanned bicycle
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