Deepak Ronanki

Electrical and Electronic Engineering · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deepak Ronanki trusts overall

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

  1. Rainer Marquardt
  2. Sergio Vazquez
  3. José Raúl Rodríguez Rodríguez
  4. Behrooz Mirafzal
  5. Srdjan M. Lukic
  6. Abd-Alhalim Yatim
  7. Marian P. Kazmierkowski
  8. Alireza Khaligh
  9. Emil Levi
  10. Patricio Cortes

Papers from Deepak Ronanki's perspective

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

  1. Predictive Torque Control of Induction Machines Based on State-Space Models (IEEE transactions on industrial electronics (1982. Print))
  2. Predictive control in power electronics and drives (2008 IEEE International Symposium on Industrial Electronics)
  3. Energy Storage Systems for Automotive Applications (IEEE transactions on industrial electronics (1982. Print))
  4. State of the Art of Finite Control Set Model Predictive Control in Power Electronics (IEEE Transactions on Industrial Informatics)
  5. Comprehensive Topological Analysis of Conductive and Inductive Charging Solutions for Plug-In Electric Vehicles (IEEE Transactions on Vehicular Technology)
  6. A new AC/AC multilevel converter family (IEEE transactions on industrial electronics (1982. Print))
  7. Operation, Control, and Applications of the Modular Multilevel Converter: A Review (IEEE transactions on power electronics)
  8. Medium frequency topology in railway applications (EPE)
  9. Energy Storage Systems for Transport and Grid Applications (IEEE transactions on industrial electronics (1982. Print))
  10. SiC versus Si—Evaluation of Potentials for Performance Improvement of Inverter and DC–DC Converter Systems by SiC Power Semiconductors (IEEE transactions on industrial electronics (1982. Print))

Their papers