Large scale process control by driving factor identification
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United States of America Patent
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Jun 7, 2005
Grant Date -
May 15, 2003
app pub date -
Sep 13, 2002
filing date -
Sep 14, 2001
priority date (Note) -
Expired
status (Latency Note)
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Abstract
Systems and methods of complex process control utilize driving factor identification based on nonlinear regression models and process step optimization. In one embodiment, the invention provides a method for generating a system model for a complex process comprised of nonlinear regression models for two or more select process steps of the process where process steps are selected for inclusion in the system model based on a sensitivity analysis of an initial nonlinear regression model of the process to evaluate driving factors of the process.
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