Path-following for parametric MPCC: a flash tank case study

Mathematical programs with complementarity constraints (MPCC) can arise in process models that contain discrete decisions such as switches, phase changes, and flow reversal. Path-following methods are an important part of advanced-step nonlinear model predictive control (NMPC) due to the ability to...

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Bibliographic Details
Published in:Computer Aided Chemical Engineering Vol. 51; pp. 1147 - 1152
Main Authors: Nakama, Caroline S.M., Maxwell, Peter, Jäschke, Johannes
Format: Book Chapter
Language:English
Published: 2022
Subjects:
Mathematical programming with complementarity constraints
parametric sensitivity
path-following
path-following
Mathematical programming with complementarity constraints
parametric sensitivity
ISBN:0323958796, 9780323958790
ISSN:1570-7946
Online Access:Get full text
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Summary:Mathematical programs with complementarity constraints (MPCC) can arise in process models that contain discrete decisions such as switches, phase changes, and flow reversal. Path-following methods are an important part of advanced-step nonlinear model predictive control (NMPC) due to the ability to deal with changes in the active-set of constraints. In this work, we introduce a path-following algorithm for parametric MPCC demonstrated on a flash tank case study. We show that this algorithm can successfully track the solution without the need for fine discretization or identifying the exact points where active-set changes occur, which are important properties for NPMC implementation.
ISBN:0323958796
9780323958790
ISSN:1570-7946
DOI:10.1016/B978-0-323-95879-0.50192-2