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Batch Process Modelling and Optimal Control Based on Neural Network Models

Jie Zhang

Jie Zhang. Batch Process Modelling and Optimal Control Based on Neural Network Models. 自动化学报, 2005, 31(1): 19-31.
引用本文: Jie Zhang. Batch Process Modelling and Optimal Control Based on Neural Network Models. 自动化学报, 2005, 31(1): 19-31.
Jie Zhang. Batch Process Modelling and Optimal Control Based on Neural Network Models. ACTA AUTOMATICA SINICA, 2005, 31(1): 19-31.
Citation: Jie Zhang. Batch Process Modelling and Optimal Control Based on Neural Network Models. ACTA AUTOMATICA SINICA, 2005, 31(1): 19-31.

Batch Process Modelling and Optimal Control Based on Neural Network Models

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    通讯作者:

    Jie Zhang

Batch Process Modelling and Optimal Control Based on Neural Network Models

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    Corresponding author: Jie Zhang
  • 摘要: This paper presents several neural network based modelling, reliable optimal control, and iterative learning control methods for batch processes. In order to overcome the lack of robustness of a single neural network, bootstrap aggregated neural networks are used to build reliable data based empirical models. Apart from improving the model generalisation capability, a bootstrap aggregated neural network can also provide model prediction confidence bounds. A reliable optimal control method by incorporating model prediction confidence bounds into the optimisation objective function is presented. A neural network based iterative learning control strategy is presented to overcome the problem due to unknown disturbances and model-plant mismatches. The proposed methods are demonstrated on a simulated batch polymerisation process.
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出版历程
  • 收稿日期:  2004-03-01
  • 修回日期:  2004-07-30
  • 刊出日期:  2005-01-20

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