R. Islam

Control and Systems Engineering · 2007 IEEE Industry Applications Annual Meeting · 2007–2011

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom R. Islam trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. I. Husain

Who trusts R. Islam overall

  1. I. Husain

Papers from R. Islam's perspective

Ordered by how strongly the researchers R. Islam trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Noise of Polyphase Electric Motors
  2. Permanent Magnet Synchronous Motor Magnet Designs with Skewing for Torque Ripple and Cogging Torque Reduction (2007 IEEE Industry Applications Annual Meeting)
  3. Analytical model for predicting noise and vibration in permanent magnet synchronous motors (2009 IEEE Energy Conversion Congress and Exposition)
  4. Review of Commercial GaN Power Devices and GaN-Based Converter Design Challenges (IEEE Journal of Emerging and Selected Topics in Power Electronics)
  5. Analytical calculation of the RMS current stress on the DC-link capacitor of voltage-PWM converter systems
  6. A Survey of EMI Research in Power Electronics Systems With Wide-Bandgap Semiconductor Devices (IEEE Journal of Emerging and Selected Topics in Power Electronics)
  7. Silicon carbide benefits and advantages for power electronics circuits and systems (Proceedings of the IEEE)
  8. Silicon carbide power device development for industrial markets (2014 IEEE International Electron Devices Meeting)
  9. Evaluation of saturation and cross-magnetization effects in interior permanent magnet synchronous motor (Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248))
  10. Sensorless control of permanent-magnet synchronous motors using online parameter identification based on system identification theory (IEEE transactions on industrial electronics (1982. Print))

Their papers