Decomposition of control and optimization problems by network structure: Concepts, methods, and inspirations from biology

Prodromos Daoutidis, Wentao Tang, Andrew Allman

Research output: Contribution to journalArticlepeer-review

7 Scopus citations
Original languageEnglish (US)
Article numbere16708
JournalAIChE Journal
Volume65
Issue number10
DOIs
StatePublished - Oct 1 2019

Bibliographical note

Funding Information:
The financial support by National Science Foundation (NSF-CBET) and a Doctoral Dissertation Fellowship (DDF) from the University of Minnesota are gratefully acknowledged. We thank Prof. Qi Zhang (University of Minnesota) who provided us a lot of valuable comments and technical assistance to the updates of the software DeCODe. We thank Prof. Victor M. Zavala and his group members Sungho Shin and Jordan Jalving (University of Wisconsin) for their constructive comments. We also thank Braulio Brunaud, Can Li, and Yixin Ye (Grossmann group, Carnegie Mellon University) for bringing into our attention the Plasmo, PlasmoAlgorithm and many other relevant works on the decomposition of optimization problems.

Keywords

  • biological evolution
  • control
  • decomposition
  • network structure
  • optimization

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