On the Identification of Stable, Integrating, and Unstable Processes with Unknown Orders and Delays
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概要
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This article addresses the complete identification of stable, integrating, and unstable processes. Despite the stability of the process, a biased relay experiment can be performed to provide abundant process input-output data in stable operation. Based on a time-weighted integral filter, an effective method is developed to estimate the orders and time delay as well as the model parameters from the relay-induced data in a straightforward fashion. The method utilizes a small amount of experimental data and is robust with respect to measurement noise and model structure mismatch. Furthermore, it can easily be applied as a model reduction technique by estimating an apparent delay with user-specified orders.
- 社団法人 化学工学会の論文
- 2002-08-01
著者
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Wang Lih-wei
Department Of Chemical Engineering National Cheng Kung University
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Hwang Shyh-hong
Department Of Chemical Engineering National Cheng Kung University
関連論文
- Use of Laguerre Models for Identification of Multiple-Input/Multiple-Output Systems under Unsteady Initial States and Unknown Disturbances
- On the Identification of Stable, Integrating, and Unstable Processes with Unknown Orders and Delays