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This paper describes a hybrid approach to the problem of controlling flexible link manipulators in the face of both structured and unstructured uncertainties. First, a nonlinear controller based on the equations of motion of the robot is elaborated. Its aim is to produce a stable control. Then, an adaptive CMAC neural controller is implemented to compensate structured and unstructured uncertainties...
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