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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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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creator Madabhushi Pranav Bhaswanth
Tanartkit Purt
Hemachandran Kishore Kumar
Boddupalli Sankararao
Lavate Mallikarjun A
Vedam Rajkumar
Zhang Detong
description 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.
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subjects CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
title PROCESS OPTIMIZATION USING MIXED INTEGER NONLINEAR PROGRAMMING
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