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In this paper, one method of non-model error self-learning control of inverse system based on BP networks is presented. The input and output of the system is identified rapidly by BP networks and its momentum BP algorithm. Error controller is constructed simultaneity. The weight matrix of the error controller is dynamically adjusted and transferred to(More)
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