Scott Jason Moura

Electrical and Electronic Engineering · 2011–2018

A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Jason Moura trusts overall

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

  1. Miroslav Krstic
  2. Huei Peng
  3. Andrey Smyshlyaev
  4. Ying Tan
  5. Jinming Liu
  6. Anna G. Stefanopoulou
  7. Giorgio Rizzoni
  8. Shriram Santhanagopalan
  9. Xiaosong Hu
  10. Antonio Sciarretta

Who trusts Scott Jason Moura overall

  1. Zhihao Yu
  2. Juan Pablo Rivera-Barrera
  3. Xiaosong Hu
  4. Billy Wu
  5. Federico Bribiesca Argomedo
  6. Ruituo Huai
  7. Ferran Brosa Planella
  8. Nicolás Muñoz-Galeano
  9. Reinhardt Klein
  10. Shaobo Xie

Papers from Scott Jason Moura's perspective

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

  1. Power management strategy for a parallel hybrid electric truck (IEEE Transactions on Control Systems Technology)
  2. Methods for state-of-charge determination and their applications
  3. Optimal energy management in series hybrid electric vehicles (Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334))
  4. Boundary Control of PDEs: A Course on Backstepping Designs
  5. A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer (IEEE transactions on power electronics)
  6. Backstepping observers for a class of parabolic PDEs (Systems & control letters (Print))
  7. Optimal control of parallel hybrid electric vehicles (IEEE Transactions on Control Systems Technology)
  8. Model-Based Electrochemical Estimation and Constraint Management for Pulse Operation of Lithium Ion Batteries (IEEE Transactions on Control Systems Technology)
  9. Experiment-driven electrochemical modeling and systematic parameterization for a lithium-ion battery cell
  10. A comparative study of equivalent circuit models for Li-ion batteries

Their papers