Article Information
| Title: | Computational-Based Framework for Optimizing Dynamic Processes with Plant-Model Mismatch |
| Auhtor(s): |
I. M. Mujtaba ,M. A. Hussain ,
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| Journal: | Malaysian Journal of Computer Science (ISSN 0127-9084) |
| Volume: | 13, No 1 |
| Year: | 2000 |
| Keywords: | Optimization, Computational framework, Dynamic process and Model mismatch |
| Abstract: | 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 process-model mismatch, which shifts the optimal operation of the process. To overcome this, a model-mismatch 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.
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| File: | Download |