出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：A general computational sequence in optimizing the operation of a dynamic process is firstly highlighted in this paper. However, in most cases these dynamic processes include processmodel mismatch, which shifts the optimal operation of the process. To overcome this, a modelmismatch estimator such as the neural network technique has been implemented in the optimization strategy. A modified general computational framework to incorporate these mismatches is developed for this purpose. The framework also allows the use of discrete process data in a continuous model to predict discrete and/or continuous mismatch profiles. The strategy is applied on a batch distillation system and the optimal operation using model mismatches is found to be comparable to that using the actual process model.
关键词：Optimization; Computational framework; Dynamic process and Model mismatch
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