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Finite dimensional modeling and control of distributed parameter systems

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3 Author(s)
Zheng, D. ; Dept. of Chem. Eng., Texas Tech. Univ., Lubbock, TX, USA ; Hoo, K.A. ; Piovoso, M.J.

Developing low-order models of high fidelity is important if the objective is an accurate control of the distributed parameter system (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-Love (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.

Published in:
American Control Conference, 2002. Proceedings of the 2002  (Volume:6 )

Date of Conference: 2002

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