DocumentCode :
490420
Title :
Derivation and Implementation of Fuzzy Optimal Climate Control
Author :
Shoureshi, Rahmat ; Torcellini, Paul ; Rahmani, Karim
Author_Institution :
School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907-1288
fYear :
1993
fDate :
2-4 June 1993
Firstpage :
1860
Lastpage :
1864
Abstract :
Inclusion of a human as part of the system introduces a major fuzzy element, since human behavior is qualitative in nature. human behavior. In an office space the reference point of the closed loop climate control is the comfort level of human living in that space. Since comfort is not described in a crisp manner, then it seems more appropriate to apply fuzzy control techniques to the problems of climate control. Two major concerns associated with fuzzy controllers, namely, its overly conservative results and an analytical method for derivation of the rules are considered in this paper. Modeling approach to rule generation and integration of fuzzy and optimal control are discussed. Implementation results are presented.
Keywords :
Art; Binary search trees; Control systems; Cost function; Displays; Fuzzy control; Learning systems; Optimal control; Tellurium; Tin; Fuzzy Control; Intelligent Control; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1993
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-0860-3
Type :
conf
Filename :
4793200
Link To Document :
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