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A neuro-fuzzy networks (NFN) saturation compensation scheme for DC motor systems is presented. The scheme that leads to stability, command following, and disturbance rejection is rigorously proved. The on-line weights tuning law, the overall closed loop performance, and the boundedness of the NFN weights are derived and guaranteed based on the Lyapunov approach. The actuator saturation is assumed...
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