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 |
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Pages (from-to) | 1353-1358 |
Number of pages | 6 |
Journal | Proceedings of the American Control Conference |
State | Published - 1987 |
Externally published | Yes |