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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Journal of Process Control
2009
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| Subjects: | |
| Online Access: | http://ac.els-cdn.com/S0959152408001388/1-s2.0-S0959152408001388-main.pdf?_tid=7b842d9c-860d-11e2-b005-00000aab0f27&acdnat=1362540503_a0f9f4eadc72582290466cf495cbc71f http://ac.els-cdn.com/S0959152408001388/1-s2.0-S0959152408001388-main.pdf?_tid=7b842d9c-860d-11e2-b005-00000aab0f27&acdnat=1362540503_a0f9f4eadc72582290466cf495cbc71f |
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http://ac.els-cdn.com/S0959152408001388/1-s2.0-S0959152408001388-main.pdf?_tid=7b842d9c-860d-11e2-b005-00000aab0f27&acdnat=1362540503_a0f9f4eadc72582290466cf495cbc71fhttp://ac.els-cdn.com/S0959152408001388/1-s2.0-S0959152408001388-main.pdf?_tid=7b842d9c-860d-11e2-b005-00000aab0f27&acdnat=1362540503_a0f9f4eadc72582290466cf495cbc71f