Cite
Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving the Performance of Proton-Exchange Membrane Fuel Cells
MLA
Benteşen Yakut, Yurdagül. “Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving the Performance of Proton-Exchange Membrane Fuel Cells.” Energies (19961073), vol. 17, no. 4, Feb. 2024, p. 890. EBSCOhost, https://doi.org/10.3390/en17040890.
APA
Benteşen Yakut, Y. (2024). Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving the Performance of Proton-Exchange Membrane Fuel Cells. Energies (19961073), 17(4), 890. https://doi.org/10.3390/en17040890
Chicago
Benteşen Yakut, Yurdagül. 2024. “Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving the Performance of Proton-Exchange Membrane Fuel Cells.” Energies (19961073) 17 (4): 890. doi:10.3390/en17040890.