Optimization of Adaptive Sliding Mode Controllers Using Customized Metaheuristics in DC-DC Buck-Boost Converters

Metaheuristics have become popular tools for solving complex optimization problems; however, the overwhelming number of tools and the fact that many are based on metaphors rather than mathematical foundations make it difficult to choose and apply them to real engineering problems. This paper address...

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Veröffentlicht in:	Mathematics (Basel) Jg. 12; H. 23; S. 3709
Hauptverfasser:	Zambrano-Gutierrez, Daniel F., Cruz-Duarte, Jorge M., Castañeda, Herman, Avina-Cervantes, Juan Gabriel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2024
Schlagworte:	Adaptation Algorithms Analysis Artificial intelligence automated algorithm design Automation Buck converters Case studies Control systems design Customization Design Design criteria Dynamic response Electric current converters Flexibility Heuristic Heuristic methods heuristic-based tuning Learning strategies Mathematical optimization Operators (mathematics) Optimization optimization methods Optimization techniques Power converters power electronics Settling Sliding mode control Statistical analysis Statistical methods Washington, D.C
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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