| Malaysian Journal of Computer Science | |
| Computational-Based Framework for Optimizing Dynamic Processes with Plant-Model Mismatch | |
| I. M. Mujtaba1  M. A. Hussain1  | |
| 关键词: Optimization; Computational framework; Dynamic process and Model mismatch; | |
| DOI : | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: University of Malaya * Faculty of Computer Science and Information Technology | |
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【 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 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.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010262505ZK.pdf | 52KB |
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