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System identification and model-based control for distributed parameter systems
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DOI：10.1016/j.compchemeng.2003.09.035.png)
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Abstract
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A linear, low-order input/output model is identified for a nonlinear distributed parameter system using a combination of singular value decomposition and the Karhunen Loeve expansion. The model captures the dominant behavior of the system around a nominal operating point. A quadratic dynamic model-based controller (QDMC) is designed based on this low-order model. Sufficient conditions for closed-loop stability are presented and proven. The system identification method and the resulting QDMC controller are demonstrated on a nonlinear multiple-input multiple-output (MIMO) chemical reactor that produces benzene from the hydro-dealkylation of toluene. (C) 2003 Elsevier Ltd. All rights reserved.
Keywords:
empirical eigenfunctions
Karhunen Loeve expansion
singular value decomposition
QDMC
multiple-input multiple-output
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