Name
Abstract | ||
|---|---|---|
The problem of adjusting the set point of industrial processes with unknown characteristics is studied. An Agent based Supervisory Control System Framework is proposed. Modeling Agents as well as Intelligent Agents are included. The Modeling Agents derive local steady - state models around operating points of the process. These models are considered to be constructed during normal process operation using various identification techniques, each of which corresponds to a different instantiation of our system. The Intelligent Agents are proposed to be implemented using finite automata units. The performance of the proposed scheme is illustrated through simulation results to some well-known benchmark problems of chemical industry. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CIMCA.2005.1631537 | Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference Intelligent Agents, Web Technologies and Internet Commerce, International Conference |
Keywords | Field | DocType |
chemical industry,supervisory control system framework,set point,set point tuning,proposed scheme,industrial processes,finite automata unit,normal process operation,modeling agents,supervisory control framework,different instantiation,intelligent agents,industrial process,intelligent agent,software agents,supervisory control,finite automata,process control,steady state | System framework,Intelligent agent,Computer science,Supervisory control,Software agent,Control engineering,Finite-state machine,Real-time computing,State model,Artificial intelligence,Process control,Machine learning | Conference |
Volume | ISBN | Citations |
2 | 0-7695-2504-0-02 | 1 |
PageRank | References | Authors |
0.40 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christoforos E. Economakos | 1 | 7 | 3.61 |
| Fotis N. Koumboulis | 2 | 72 | 27.15 |