Finite dimensional modeling and control of distributed parameter systems (original) (raw)

Abstract

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 loworder 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-Loève (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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