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dc.creator | Zhang, J. | |
dc.creator | Chen, Y. | |
dc.date.accessioned | 2007-05-07T20:45:00Z | |
dc.date.available | 2007-05-07T20:45:00Z | |
dc.date.issued | 2006 | |
dc.identifier.other | ESL-IC-06-11-153 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/5297 | |
dc.description.abstract | The heating, ventilation and air-conditioning (HVAC) system possesses some characteristics such as multi-parameters, nonlinear, and coupled parameters. Aimed at control problems, the author targets real-time fuzzy control and research systematically via the fuzzification method, fuzzy inference method, fuzzy control rules online obtaining and optimizing method, self-organizing fuzzy control method, and fuzzy predictive control of a time-delayed process. This paper will briefly introduce previous research results. | en |
dc.format.extent | 80760 bytes | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu) | |
dc.publisher | Texas A&M University (http://www.tamu.edu) | |
dc.subject | HVAC system | en |
dc.subject | fuzzification | en |
dc.subject | fuzzy logic inference | en |
dc.subject | self-organizing fuzzy control | en |
dc.subject | fuzzy predictive control | en |
dc.title | Advance of Systematic Design Methods on Fuzzy Control | en |
This item appears in the following Collection(s)
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ICEBO - International Conference for Enhanced Building Operations
International Conference for Enhanced Building Operations