PROCESS OPTIMIZATION USING MIXED INTEGER NONLINEAR PROGRAMMING

PROCESS OPTIMIZATION USING MIXED INTEGER NONLINEAR PROGRAMMING

Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes a switch to activate and deactivate a first-principle model of a process unit. The switch enables MINLP behavior by attachin...

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Bibliographische Detailangaben
Hauptverfasser: Madabhushi Pranav Bhaswanth, Tanartkit Purt, Hemachandran Kishore Kumar, Boddupalli Sankararao, Lavate Mallikarjun A, Vedam Rajkumar, Zhang Detong
Format: Patent
Sprache:eng
Schlagworte:
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
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Beschreibung
Zusammenfassung:Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes a switch to activate and deactivate a first-principle model of a process unit. The switch enables MINLP behavior by attaching to the first-principle model.