Shape control in strip rolling is intractable because ofmultivariate, non-linearity, time-variation and coupling of the process. In this paper, a generalized predictive control algorithm based on BP neural network model was introduced for on-line controlling the strip flatness of a reversal UC mill. Some comparative experiments were done with a conventional feedback control based on linear regression model. The results clearly demonstrated the advantage of the proposed scheme.
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