A multitasking knowledge-based system for control applications

Date

1999

Author

Tolun, Mehmet
Baykal, Nazife
Abu-Shaar, S.

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Knowledge-based systems can provide several intelligent features for control applications, which decrease their dependency on human operators. As industrial systems become more complex, the response time and the amount of thinking required to control a large number of instruments far surpass the capability of humans. This paper describes a knowledge-based tool architecture that is supported by a multitasking inference engine and an interfacing hardware for data acquisition. The tool Features a high-level language for creating rules, models and procedures. It also includes concurrent execution of rules and the ability to reason about behavior over time.

Subject Keywords

International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 99)

URI

https://hdl.handle.net/11511/52497

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

M. Tolun, N. Baykal, and S. Abu-Shaar, “A multitasking knowledge-based system for control applications,” 1999, vol. 55, p. 513, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52497.