Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor
Recently, the use of control strategies based upon inverse process models for non-linear systems has been found promising. The requirement of a true analytical inverse can be avoided when neural network models are used; they have the ability to approximate both the forward and the inverse system dyn...
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Elsevier
2000
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