Neural network based model predictive control for a steel pickling process
A multi-layer feedforward neural network model based predictive control scheme is developed for a multivariable nonlinear steel pickling process in this paper. In the acid baths three variables under controlled are the hydrochloric acid concentrations. The baths exhibit the normal features of an ind...
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| Format: | Article |
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Elsevier
2009
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