Advance of Systematic Design Methods on Fuzzy Control

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