The nonlinear model-predictive control of a chemical plant using multiple neural networks

被引：0
作者：
H. Jazayeri-Rad
机构：
[1] The University of the Petroleum Industry,
来源：
Neural Computing & Applications | 2004年 / 13卷
关键词：
Multi-component distillation column; Neural networks; Nonlinear model-predictive control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A combination of multiple neural networks (NNs) is selected and used to model nonlinear multi-input multi-output (MIMO) processes with time delays. An optimisation procedure for a nonlinear model-predictive control (MPC) algorithm based on this model is then developed. The proposed scheme has been applied and evaluated for two example problems, including the MPC of a multi-component distillation column.
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页码：2 / 15
页数：13
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