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.
Bibliographical noteFunding Information:
Supported by Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET) of the National Science Foundation (NSF) of the United States of America.
- Decision making
- Distributed control
- Distributed optimization
- Process networks