Abstract
The application of artificial intelligence techniques in the supervisory controller of a gas distribution network is described. The main idea is the use of symbolic models of the distribution network in the knowledge-based system components. The symbolic models represent various quantitative and qualitative features of the process which make it possible to support the monitoring, diagnostic and intervention planning procedures with high-level tools. The spectrum of AI techniques used in the system architecture includes associative databases, object-oriented programming and planning techniques. The system has been implemented in a distributed computing environment.
| Original language | English |
|---|---|
| Pages (from-to) | 1353-1358 |
| Number of pages | 6 |
| Journal | Proceedings of the American Control Conference |
| State | Published - 1987 |
| Externally published | Yes |