Process modelling for intelligent control
| Autor: | R. Corea, M.T. Tham, A.J. Morris, S. Feray-Beaumont |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Process modeling
Knowledge representation and reasoning Computer science Management science Intelligent decision support system Transfer function Domain (software engineering) Qualitative reasoning Artificial Intelligence Control and Systems Engineering Systems engineering Process control Electrical and Electronic Engineering Intelligent control |
| Zdroj: | Engineering Applications of Artificial Intelligence. 5:483-492 |
| ISSN: | 0952-1976 |
| DOI: | 10.1016/0952-1976(92)90025-f |
| Popis: | This contribution considers the problem of knowledge representation in intelligent control systems: the kind of knowledge that is required and how this may be encapsulated within an application framework. It is argued that rule-base techniques need to be supplemented by other methods in order to express certain pertinent aspects of the domain. After a brief discussion of qualitative modelling techniques, attention is focused upon numerical models and a relatively new qualitative modelling approach, Qualitative Transfer Functions. The effectiveness of the latter model forms as repositories of deep knowledge are evaluated by application to a simulated distillation plant. The results indicate that although numerical models can provide accurate input-output representations, the integrated framework offered by Qualitative Transfer Functions is capable of carrying more information relevant to decision-making systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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