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A State Learning Controller

A learning control method is proposed in this paper. The feature of this control method is that the controller is constructed without an explicit structure and the output of the controller is generated by learning. The gained experiences are memorized as a set of control rules. The convergence of the learning algorithm and the stability conditions have been given. The algorithm has been illustrated by applying it to a simulation study of an inverted pendulum balancing problem.