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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