Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy

In model predictive control (MPC), a process dynamic model is utilized to make predictions of the value of the objective function and constraints throughout a prediction horizon. In one method of solving this problem, the time required to find the optimal values of the decision variables depends on...

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Bibliographic Details
Main Authors: Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Digital Chemical Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508124000413
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