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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Glass, B.J. Wong, C.M. |
| Copyright Year | 1988 |
| Description | Author affiliation: NASA-Ames Res. Center, Moffett Field, CA, USA (Glass, B.J.; Wong, C.M.) |
| Abstract | Artificial intelligence techniques are applied to the problems of model form and parameter identification of large-scale dynamic systems. The object-oriented knowledge representation is discussed in the context of causal modeling and qualitative reasoning. Structured sets of rules are used for implementing qualitative component simulations, for catching qualitative discrepancies and quantitative bound violations, and for making reconfiguration and control decisions that affect the physical system. These decisions are executed by backward-chaining through a knowledge base of control action tasks. This approach was implemented for two examples: a triple quadrupole mass spectrometer and a two-phase thermal testbed. Results of tests with both of these systems demonstrate that the software replicates some or most of the functionality of a human operator, thereby reducing the need for a human-in-the-loop in the lower levels of control of these complex systems.< |
| Starting Page | 881 |
| Ending Page | 886 |
| File Size | 724669 |
| Page Count | 6 |
| File Format | |
| DOI | 10.1109/CDC.1988.194437 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-12-07 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object oriented modeling Artificial intelligence Parameter estimation Large-scale systems Knowledge representation Context modeling Mass spectroscopy Software testing System testing Humans |
| Content Type | Text |
| Resource Type | Article |
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