This paper proposes a novel method for genetic optimi zation of triangular and trapezoidal membership functions of fuzzy systems, for hardware applications such as the FPGA (Field Programmable Gate Array). This method con sists in taking only certain points of the membership func tions, with the purpose of giving more efficiency to the algorithm. The genetic algorithm was tested in a fuzzy con troller to regulate engine speed of a direct current (DC) motor, using the Xilinx System Generator (XSG) toolbox of Matlab, which simulate VHDL (Very High Description Lang uage) code.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.