White Paper: INCA Discovery
This general paper focuses on INCA Discovery. A Sophisticated Software Package for Constrained Linear Model Identification.
The objective of the development project was to build a model identification package that can discover good clean models in a step test data set by automating most of the workflow steps involved.
Learn in this white paper:
- How to effectively identify models with INCA Discovery
- How the user can impose process knowledge prior to the Identification step
- The workflow to be used
- The INCA environment.
Discover how to identify APC models with imposed constraints — download the white paper ⇒
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