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Dynamic real-time optimization of distributed MPC...
Journal article

Dynamic real-time optimization of distributed MPC systems using rigorous closed-loop prediction

Abstract

A dynamic real-time optimization (DRTO) formulation with closed-loop prediction is used to coordinate distributed model predictive controllers (MPCs) by rigorously predicting the interaction between the distributed MPCs and full plant response in the DRTO formulation. This results a multi-level optimization problem that is solved by replacing the MPC quadratic programming subproblems by their equivalent Karush-Kuhn-Tucker (KKT) first-order …

Authors

Li H; Swartz CLE

Journal

Computers & Chemical Engineering, Vol. 122, , pp. 356–371

Publisher

Elsevier

Publication Date

3 2019

DOI

10.1016/j.compchemeng.2018.08.028

ISSN

0098-1354