SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2019, Vol. 27 ›› Issue (7): 1461-1473.DOI: 10.1016/j.cjche.2018.08.027

• Selected Papers on Sustainable Chemical Process Systems • 上一篇    下一篇

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

Wentao Tang, Prodromos Daoutidis   

  1. Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA
  • 收稿日期:2018-06-12 出版日期:2019-07-28 发布日期:2019-10-14
  • 通讯作者: Prodromos Daoutidis

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

Wentao Tang, Prodromos Daoutidis   

  1. Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA
  • Received:2018-06-12 Online:2019-07-28 Published:2019-10-14
  • Contact: Prodromos Daoutidis

摘要: 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.

关键词: Distributed control, Distributed optimization, Process networks, Decision making

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.

Key words: Distributed control, Distributed optimization, Process networks, Decision making