Scott Moura

According to our database1, Scott Moura authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework.
CoRR, April, 2026

Model-Agnostic Energy Throughput Control for Range and Lifetime Extension of Electric Vehicles via Cell-Level Inverters.
CoRR, April, 2026

Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation.
CoRR, March, 2026

2025
An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation.
CoRR, July, 2025

From Links to Networks: A Data-Driven, Physics-Informed Koopman Framework for Traffic Networks.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Physics-Aware Robotic Palletization With Online Masking Inference.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Energy Efficient Nonlinear Microscopic Dynamical Model for Autonomous and Electric Vehicles.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Relax, Estimate, and Track: a Simple Battery State-of-charge and State-of-health Estimation Method.
CoRR, 2024

A New Framework for Nonlinear Kalman Filters.
CoRR, 2024

Multiple Time Scale Energy Management for a Fuel Cell Ship Propulsion System.
Proceedings of the European Control Conference, 2024

Weaknesses and Improvements of the Extended Kalman Filter for Battery State-of-Charge and State-of-Health Estimation.
Proceedings of the American Control Conference, 2024

Nonlinear Fractional Dynamics Integrated Physics-Informed Neural Network Model for LiFePO4 Batteries in Electric Vehicles.
Proceedings of the American Control Conference, 2024

2023
Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks.
CoRR, 2023

HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control.
CoRR, 2023


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