Integration of scheduling and control using internal coupling models

Jungup Park, Juan Du, Iiro Harjunkoski, Michael Baldea*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)


In this paper, we present a novel framework for the integration of scheduling and control of process systems. We introduce internal coupling models (ICMs), defined as (low-order) representations of the closed-loop input-output behaviour of the process under supervisory control. We explore the derivation of ICMs for a specific class of input-output linearizing nonlinear controllers. Then, we formulate the scheduling problem as a mixed-integer dynamic optimization under the constraints imposed by the ICM, aimed at finding the optimal setpoint trajectory for the supervisory controller. We illustrate these concepts with a case study, demonstrating that ICM-based scheduling has comparable performance to other scheduling approaches in the absence of plant- model mismatch, and vastly outperforms them when mismatch is present.

Original languageEnglish
Pages (from-to)529-534
Number of pages6
JournalComputer Aided Chemical Engineering
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed


  • Control
  • Integrated scheduling and control
  • Short-term scheduling


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