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Steel rolling process exhibits multi-variables, multi-models, nonlinear, time-varying. This paper describes a model adaptive learning method for steel rolling process control. Optimize mechanism of long self-learning and short self-learning based on model adaptive learning are proposed. Moreover, model adaptive technology based on model classification and information system classification are used...
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