Proceedings of the 1996 IEEE International Symposium on Intelligent Control
DOI: 10.1109/isic.1996.556174
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A case study in intelligent vs. conventional control for a process control experiment

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Cited by 10 publications
(9 citation statements)
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“…Specific problems of the setup, making accurate control difficult, include accurate sensing of the liquid level (in the presence of turbulence due to the pumping action) and deadband nonlinearity in the dc pumps. We can also simulate a pump degradation failure (as if the filters in the pumps get dirty); compensation for this requires adaptation [12].…”
Section: Process Control Plantmentioning
confidence: 99%
“…Specific problems of the setup, making accurate control difficult, include accurate sensing of the liquid level (in the presence of turbulence due to the pumping action) and deadband nonlinearity in the dc pumps. We can also simulate a pump degradation failure (as if the filters in the pumps get dirty); compensation for this requires adaptation [12].…”
Section: Process Control Plantmentioning
confidence: 99%
“…Define the signals and , where now we take and we let , (with these choices, the poles of the error transfer function are at and , which produce a small error settling time). Then, the indirect adaptive control law [1], [3] is given by (17) where the certainty equivalence control term is taken as . The sliding-mode control term is given by sgn .…”
Section: ) Design Without Use Of Plant Dynamics Knowledgementioning
confidence: 99%
“…The sliding mode and bounding control terms as well as the adaptation law (18) are taken without change, and the indirect adaptive control law is given by (17).…”
Section: ) Incorporation Of Plant Dynamics Knowledge In Designmentioning
confidence: 99%
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