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Advanced Topologies and Control Strategies for DC-DC Power Converters by optimizing power density, cost-efectiveness, and dynamic performance This special session aims to bring together leading researchers and industry experts to discuss innovations in converter topologies, mathematical modeling, circuit synthesis, control dynamics, and techno-economic optimizations and
Top 7 Trends Shaping the Future of the DC-DC Power Supply Market . . . By embedding machine learning and intelligent control, the DC-DC power supply market evolves into a highly resilient, autonomous ecosystem capable of meeting the growing demands of electrification, renewable energy, and smart industrial operations
Robust control strategies applicable to DC–DC converter with . . . DC–DC converters are emerging as the fastest-growing interfacing devices in the world because of their emergent applications in almost all domains of engineering Notably, the non-linear behavior of DC–DC converters offers a perplexing problem in designing a robust controller
Self-learning Controller Design for DC–DC Power Converters with . . . Abstract This article presents a promising self-learning-based robust control for output voltage tracking in DC–DC buck power converters, particularly for applications demanding high precision performance in face of large load uncertainties