Distributed control and optimization of process system networks: A review and perspective

Wentao Tang, Prodromos Daoutidis

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

Abstract

Large-scale and complex process systems are essentially interconnected networks. The automated operation of such process networks requires the solution of control and optimization problems in a distributed manner. In this approach, the network is decomposed into several subsystems, each of which is under the supervision of a corresponding computing agent (controller, optimizer). The agents coordinate their control and optimization decisions based on information communication among them. In recent years, algorithms and methods for distributed control and optimization are undergoing rapid development. In this paper, we provide a comprehensive, up-to-date review with perspectives and discussions on possible future directions.

Original languageEnglish (US)
Pages (from-to)1461-1473
Number of pages13
JournalChinese Journal of Chemical Engineering
Volume27
Issue number7
DOIs
StatePublished - Jul 2019

Bibliographical note

Funding Information:
Supported by Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET) of the National Science Foundation (NSF) of the United States of America.

Keywords

  • Decision making
  • Distributed control
  • Distributed optimization
  • Process networks

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