Finite dimensional modeling and control of distributed parameter systems

被引：0
|
作者：
Zheng, D [1 ]
Hoo, KA [1 ]
Piovoso, MJ [1 ]
机构：
[1] Texas Tech Univ, Dept Chem Engn, Lubbock, TX 79409 USA
来源：
PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2002年 / 1-6卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Developing low-order models of high fidelity is important if the objective is accurate control of the DPS. This work presents a novel method to develop-a low-order models when there is no available exact model of the system. The foundations for this method, SVD-KL, are singular value decomposition (SVD) theory and the Karhunen-Loeve (KL) expansion. It is shown that satisfactory closed-loop performance of the nonlinear DPS can be obtained using a Dynamic Matrix Controller designed using the finite order model.
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页码：4377 / 4382
页数：6
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