Abstract: Fuzzy logic system design has rapidly become one of the most successful of today's technologies for developing sophisticated logically designs system. Fuzzy logic addresses such applications perfectly as it resembles human decision making with an ability to generate precise solutions from certain or approximate information. Complex fuzzy logic is a generalization of traditional fuzzy logic, based on complex fuzzy sets. In complex fuzzy logic, inference rules are constructed and “fired” in a manner that closely parallels traditional fuzzy logic. The range of these membership functions is extended from the traditional fuzzy range of [0,1] to the unit circle in the complex plane, thus providing a method for describing membership in a set in terms of a complex number. Several mathematical properties of complex fuzzy sets, which serve as a basis for the derivation of complex fuzzy logic, are reviewed in this paper. These properties include basic set theoretic operations on complex fuzzy set

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-258
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Abstract: Fuel cell along with energy storage devices is a very promising source of clean energy power system. One main weak point of the fuel cell is its very slow dynamics. To overcome this limitation, energy storage devices are used.The energy storage devices used in this paper are battery and supercapacitor. Battery has a very good charge storage capacity and supercapacitor has high current density making them the ideal choice.DC/DC converters are designed for the power electronics interface. The integrated control of these three power sources is a very challenging task for the control system designer. In this paper we do a comparative study of two efficient control systems, one which usesfuzzy logic control and the other is amultilevel supervisory control. All the simulationsare carried out in the matlab/simulink environment.

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-317
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