Process Identification with a Flexible GARX Model

概要

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The purpose of this study is to propose a model structure for plant identification and evaluate its properties. Obtaining a good model for a plant is important to construct a control system and it requires a long time and considerable effort. The model accuracy largely depends on the model structure which provides a means to estimate the plant characteristics. The proposed model structure, which is a fraction of a linear combination of sets of proper transfer functions, is for a linear system, and is practical and reliable. A relatively accurate model can be estimated with the model readily compared with other models even under poor conditions. The obtained model is a continuous-time ARX type and applicable to many controller design methods by transferring the model to appropriate forms.
社団法人化学工学会の論文
2002-02-01