Skip to main content
King Abdullah University of Science and Technology
Extreme Statistics
XSTAT
Extreme Statistics

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • About
  • Contact Us
  • Publications
  • Teaching

Resonant dc–dc converters

Design, Analysis, and Control Methodologies for Switching Power Converters with Improved Compatibility Properties

Wed, Jul 17 2024

Research

DC-DC power converters Resonant dc–dc converters

A consequence of adopting IoT technologies in the area of industrial automation is to integrate smart device capabilities such as sensing, communication, knowledge management, decision-making, control, actuation, into advanced automation systems of the future in order to achieve smart maintenance and smart production execution. Yet, Industrial platforms impose stringent requirements for legacy compatibility, and this in turn imposes constraints on the switching power supply units for the IoT nodes: supplying the desired voltage/current levels with high efficiency; electrical isolation to

Extreme Statistics (XSTAT)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice