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Volumn , Issue , 2006, Pages 530-533

Fuzzy model predictive control for a comfort air-conditioning system

Author keywords

Comfort air conditioning system; Linearization; Predictive control; Takagi Sugeno fuzzy model

Indexed keywords

AIR CONDITIONING; LINEARIZATION; THERMAL COMFORT; THREE TERM CONTROL SYSTEMS;

EID: 45149130748     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COASE.2006.326937     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 1
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    • Application of artificial neural network to predict the optimal start time for heating system in building
    • I.H. Yang, M.S. Yeo, K.W. Kim, "Application of artificial neural network to predict the optimal start time for heating system in building", Energy Conversion and Management, Vol. 44, pp. 2791-2809, 2003.
    • (2003) Energy Conversion and Management , vol.44 , pp. 2791-2809
    • Yang, I.H.1    Yeo, M.S.2    Kim, K.W.3
  • 2
    • 0347654932 scopus 로고    scopus 로고
    • The control of indoor thermal comfort conditions: Introducing a fuzzy adaptive controller
    • F. Calvino, M.L. Gennusa, G. Rizzo, G. Scaccianoce, "The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller", Energy and Buildings, Vol. 36, pp. 97-102,2004.
    • (2004) Energy and Buildings , vol.36 , pp. 97-102
    • Calvino, F.1    Gennusa, M.L.2    Rizzo, G.3    Scaccianoce, G.4
  • 4
    • 0042846399 scopus 로고    scopus 로고
    • Evolving rule-based models: A tool for design of flexible adaptive systems
    • P.P. Angelov, "Evolving rule-based models: a tool for design of flexible adaptive systems", Studies in Fuzziness and Soft Computing, Vol. 92, pp.27, 2002.
    • (2002) Studies in Fuzziness and Soft Computing , vol.92 , pp. 27
    • Angelov, P.P.1
  • 5
    • 0034387057 scopus 로고    scopus 로고
    • Novel fuzzy logic control based on weighting of partially inconsistent rules using neural network
    • J. S. Cho, D. J. Park, "Novel fuzzy logic control based on weighting of partially inconsistent rules using neural network", Journal of Intelligent and Fuzzy Systems, Vol. 8, pp. 99-110, 2000.
    • (2000) Journal of Intelligent and Fuzzy Systems , vol.8 , pp. 99-110
    • Cho, J.S.1    Park, D.J.2
  • 6
    • 0029772815 scopus 로고    scopus 로고
    • Long-Range Predictive control Using Fuzzy Process Models
    • D. A. Linkens and S. Kandiah, "Long-Range Predictive control Using Fuzzy Process Models", Trans I ChemE 74 (A1) (2004) 77-88.
    • (2004) Trans I ChemE , vol.74 , Issue.A1 , pp. 77-88
    • Linkens, D.A.1    Kandiah, S.2
  • 7
    • 0000938740 scopus 로고    scopus 로고
    • A learning process for fuzzy control rules using genetic algorithms
    • F. Herrera, M. Lozano, J.L. Verdegay, "A learning process for fuzzy control rules using genetic algorithms", Fuzzy Sets and Systems, Vol. 100, pp. 143-159, 1999.
    • (1999) Fuzzy Sets and Systems , vol.100 , pp. 143-159
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 9
    • 45149091246 scopus 로고    scopus 로고
    • Katsuhiko Ogata, Modem Control Engineering(3rd Edition), Beijing: Electronics Industry,2000.
    • Katsuhiko Ogata, Modem Control Engineering(3rd Edition), Beijing: Electronics Industry,2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.