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PID control was commonly used for control system which often depend on accurate mathematical models, but in some complicated situations, the model are hard to obtain and the plant parameters are subject to perturbations, the application of PID control are limited and adaptive schemes should be taken. BP neural networks with good model identification and can be used to satisfied PID parameters through...
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