MODEL PREDICTIVE CONTROLLER DESIGN FOR AIR SEPARATION PLANTS

机译：空气分离厂模型预测控制器设计

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This paper focuses on the design of a model predictive controller to cope with the load change of air separation plants. The linear state-space wiener model is obtained using subspace identification methods. And we design a static output feedback model predictive controller for the obtained model. The upper bound of performance index with finite horizon is acquired with LMI technique. Simulation results show the effectiveness of the proposed method.

机译：本文侧重于模型预测控制器的设计，以应对空气分离厂的负载变化。使用子空间识别方法获得线性状态空间维纳模型。我们设计了所获得的模型的静态输出反馈模型预测控制器。利用LMI技术获取具有有限地平线的性能指数的上限。仿真结果表明了该方法的有效性。

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《IFAC workshop on new technologies for automation of metallurgical industry》|2003年||共5页
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Sangmoon Lee; Sangchul Won;
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中图分类冶金工业;
关键词
wiener model; model predictive control; air separation plants;

机译：Wiener模型;模型预测控制;空气分离厂;

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2. Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants [J] . W Du, X Wu, Q Zhu Proceedings of the Institution of Mechanical Engineers . 2012,第I1期

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3. Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants [J] . Journal of Systems and Control Engineering . 2012,第1期

机译：一类非线性（多项式）动态工厂的基于U模型的广义预测控制器的直接设计
4. MODEL PREDICTIVE CONTROLLER DESIGN FOR AIR SEPARATION PLANTS [C] . Sangmoon Lee, Sangchul Won International Federation of Automatic Control(IFAC) Workshop on New Technologies for Automation of Metallurgical Industry; 20031011-20031013; Shanghai; CN . 2003

机译：空气分离厂的模型预测控制器设计
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机译：利用在线植物分析仪在自适应预测控制器在植物安全监测中的应用，

MODEL PREDICTIVE CONTROLLER DESIGN FOR AIR SEPARATION PLANTS

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