<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=171113"><dc:title>Magnetic coil’s performance optimization with nonsmooth search algorithms</dc:title><dc:creator>Reznichenko,	Igor	(Avtor)
	</dc:creator><dc:creator>Podržaj,	Primož	(Avtor)
	</dc:creator><dc:creator>Peperko,	Aljoša	(Avtor)
	</dc:creator><dc:subject>control theory</dc:subject><dc:subject>optimization</dc:subject><dc:subject>metaheuristic algorithms</dc:subject><dc:subject>step response analysis</dc:subject><dc:description>This research is concerned with design optimization of control systems. Our case study deals with magnetic levitation, in which an essential part is a solenoid. Its dimensions, along with controller parameters, form the optimization variables. We present a novel way of writing the explicit expression of the solenoid’s force acting on a magnetic dipole, as well as its first derivatives. Numerical tests using non-gradient search algorithms show the difference in optimal designs provided by these methods. Since such optimization depends on output signals, a comparison of step response analysis methods is presented.</dc:description><dc:date>2025</dc:date><dc:date>2025-08-06 08:46:45</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>171113</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
