Operating Regime Based Process Modeling and Identi - cationTor
نویسندگان
چکیده
This paper presents a non-linear modeling framework that supports model development \in between" empirical and mechanistic modeling. A model is composed of a number of local models valid in diierent operating regimes. The local models are combined by smooth interpolation into a complete global model. It is illustrated how diierent kinds of empirical and mechanistic knowledge and models can be combined with process data within this framework. Furthermore, we describe a exible computer aided modeling tool that supports modeling within this framework. Simple but illustrative examples from chemical engineering are used to highlight the exibility and power of the framework.
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تاریخ انتشار 1995