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<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=183581"><dc:title>Evolving fuzzy control of a hydraulic plant</dc:title><dc:creator>Blažič,	Sašo	(Avtor)
	</dc:creator><dc:creator>Škrjanc,	Igor	(Avtor)
	</dc:creator><dc:subject>evolving systems</dc:subject><dc:subject>evolving control</dc:subject><dc:subject>fuzzy control</dc:subject><dc:subject>adaptive control</dc:subject><dc:subject>three tanks</dc:subject><dc:description>This paper presents a fuzzy model reference adaptive control method with an evolving structure. The approach builds on existing adaptive fuzzy controllers by enabling on-line addition of membership functions using a clustering-based mechanism. An additional stabilizing term inspired by sliding mode control is introduced to improve robustness. Two variations of this term are tested and compared. Simulation results on a nonlinear multi-tank system show good tracking performance, with the stabilizing term further improving control quality. The method is suitable for systems with changing dynamics and limited prior knowledge.
</dc:description><dc:date>2025</dc:date><dc:date>2026-06-15 14:07:32</dc:date><dc:type>Neznano</dc:type><dc:identifier>183581</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
