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.

引用

页码：4377 / 4382

页数：6

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