Computer design of a new advanced control parameter adjustment using kalman filter

机译：使用卡尔曼滤波器的新型高级控制参数调节的计算机设计

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This work proposes a new control parameter adjustment technique using Kalman filter applied to an adaptive control strategy. The control algorithm is based on neural networks with on-line learning to compute the next action of the manipulated process variables. The penalization parameters of the control actions are on-line optimized by the Kalman filter. The new control algorithm was tested on a fixed bed catalytic reactor process and the results show the great potential for successful application.

机译：这项工作提出了一种新的使用卡尔曼滤波器的控制参数调节技术，该技术应用于自适应控制策略。该控制算法基于具有在线学习功能的神经网络，可以计算受控过程变量的下一个动作。控制动作的惩罚参数由卡尔曼滤波器在线优化。该新的控制算法在固定床催化反应器工艺上进行了测试，结果表明了成功应用的巨大潜力。

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来源
《Italian Conference on Chemical and Process Engineering(ICheaP-6) vol.2; 20030608-11; Pisa(IT)》|2003年|P.1197-1202|共6页
会议地点 Pisa(IT)
作者
L. Ender; R. Scheffer; R. Maciel Filho;
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作者单位

Chemical Engineering Department, Regional University of Blumenau, Rua Antonio da Veiga 140;

CP 1507, Blumenau -SC, Brazil, ZIP CODE: 89010-971;

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原文格式 PDF
正文语种 eng
中图分类基本有机化学工业;
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Computer design of a new advanced control parameter adjustment using kalman filter

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