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The design of intelligent control of a kitchen refrigerator. (English) Zbl 0983.93509


MSC:

93C95 Application models in control theory
93C42 Fuzzy control/observation systems
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References:

[1] MATLAB: High-Performance Numeric Computation and Visualization Software, The MathWorks Inc., USA, 1992.; MATLAB: High-Performance Numeric Computation and Visualization Software, The MathWorks Inc., USA, 1992.
[2] SIMULINK: Dynamic System Simulation Software, The MathWorks Inc., USA, 1993.; SIMULINK: Dynamic System Simulation Software, The MathWorks Inc., USA, 1993.
[3] Fuzzy Logic TOOLBOX, The MathWorks Inc., USA, 1995.; Fuzzy Logic TOOLBOX, The MathWorks Inc., USA, 1995.
[4] Jang, J. S.R., ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. Sys., Man, Cybernetics, 23, 665-685 (1993)
[5] M. Mraz, N. Zimic, I. Lapanja, J. Virant, B. Skrt, Fuzzy techniques in intelligent household appliances, in: L.C. Jain (Ed.), Everyday Applications of Computational Intelligence Techniques, CRC Press, submitted for publication.; M. Mraz, N. Zimic, I. Lapanja, J. Virant, B. Skrt, Fuzzy techniques in intelligent household appliances, in: L.C. Jain (Ed.), Everyday Applications of Computational Intelligence Techniques, CRC Press, submitted for publication.
[6] D. Dubois, H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York, 1980.; D. Dubois, H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York, 1980. · Zbl 0444.94049
[7] M. Sugeno, Industrial Applications of Fuzzy Control, Elsevier, 1985.; M. Sugeno, Industrial Applications of Fuzzy Control, Elsevier, 1985. · Zbl 0586.93053
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