Scott J. Moura

Orcid: 0000-0002-6393-4375

Affiliations:
  • University of California, Civil & Environmental Engineering, Berkeley, CA, USA


According to our database1, Scott J. Moura authored at least 109 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
On Electrochemical Model-Based State Estimation for Lithium-Sulfur Batteries.
IEEE Trans. Control. Syst. Technol., May, 2024

Guest Editorial Introduction to the Special Section on Next Generation Zero-Emission Vehicles.
IEEE Trans. Veh. Technol., April, 2024

Safe Learning MPC With Limited Model Knowledge and Data.
IEEE Trans. Control. Syst. Technol., March, 2024

Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay.
IEEE Trans. Smart Grid, January, 2024

Remaining Energy Prediction for Lithium-Ion Batteries: A Machine Learning Approach.
CoRR, 2024

Parking of Connected Automated Vehicles: Vehicle Control, Parking Assignment, and Multi-agent Simulation.
CoRR, 2024

2023
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems.
IEEE Trans. Control. Syst. Technol., May, 2023

Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks.
IEEE Trans. Control. Syst. Technol., March, 2023

Joint Design for Electric Fleet Operator and Charging Service Provider: Understanding the Non-Cooperative Nature.
IEEE Trans. Intell. Transp. Syst., January, 2023

A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states.
Comput. Chem. Eng., 2023

Modeling and State Estimation for Lithium Sulfur Batteries as a Piecewise Affine System.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal Dispatch and Routing of Electrified Heavy-Duty Truck Fleets: A Case Study with Fleet Data.
Proceedings of the American Control Conference, 2023

Optimal Operation with Robo-chargers in Plug-in Electric Vehicle Charging Stations.
Proceedings of the American Control Conference, 2023

2022
Thermal-Enhanced Adaptive Interval Estimation in Battery Packs With Heterogeneous Cells.
IEEE Trans. Control. Syst. Technol., 2022

Reinforcement Learning Versus PDE Backstepping and PI Control for Congested Freeway Traffic.
IEEE Trans. Control. Syst. Technol., 2022

Faster and Healthier Charging of Lithium-Ion Batteries via Constrained Feedback Control.
IEEE Trans. Control. Syst. Technol., 2022

Valuation of Public Bus Electrification with Open Data.
CoRR, 2022

A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Exploration vs. Exploitation in Airborne Wind Energy Systems via Information-Directed Sampling Control.
Proceedings of the American Control Conference, 2022

State-Of-Health Estimation Pipeline for Li-ion Battery Packs with Heterogeneous Cells.
Proceedings of the American Control Conference, 2022

Pack Level State-of-Power Prediction for Heterogeneous Cells<sup>*</sup>.
Proceedings of the American Control Conference, 2022

2021
Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station.
IEEE Trans. Smart Grid, 2021

Electrode-Level State Estimation in Lithium-Ion Batteries via Kalman Decomposition.
IEEE Control. Syst. Lett., 2021

Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries.
CoRR, 2021

Battery internal temperature estimation via a semilinear thermal PDE model.
Autom., 2021

Risk-Aware Lane Selection on Highway with Dynamic Obstacles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Vector Auto-Regression Based Forecast of Wind Speeds in Airborne Wind Energy Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries.
Proceedings of the 2021 American Control Conference, 2021

Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring.
Proceedings of the 2021 American Control Conference, 2021

1D PDE Model for Thermal Dynamics in Fluid-Cooled Battery Packs: Numerical Methods and Sensor Placement.
Proceedings of the 2021 American Control Conference, 2021

State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries.
Proceedings of the 2021 American Control Conference, 2021

Optimal Siting, Sizing and Bid Scheduling of a Price-Maker Battery on a Nodal Wholesale Market.
Proceedings of the 2021 American Control Conference, 2021

A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage.
Proceedings of the 2021 American Control Conference, 2021

2020
Hopfield Neural Network Flow: A Geometric Viewpoint.
IEEE Trans. Neural Networks Learn. Syst., 2020

Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020

Solving Overstay and Stochasticity in PEV Charging Station Planning With Real Data.
IEEE Trans. Ind. Informatics, 2020

Real-Time Capacity Estimation of Lithium-Ion Batteries Utilizing Thermal Dynamics.
IEEE Trans. Control. Syst. Technol., 2020

Battery Adaptive Observer for a Single-Particle Model With Intercalation-Induced Stress.
IEEE Trans. Control. Syst. Technol., 2020

Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections.
IEEE Internet Things J., 2020

Data-driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information.
CoRR, 2020

Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach.
CoRR, 2020

Safe Wasserstein Constrained Deep Q-Learning.
CoRR, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.
CoRR, 2020

Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures.
CoRR, 2020

Stochastic Optimal Load Shedding with Heterogeneous Load Zones.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Implicit Optimization: Models and Methods.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Optimal Control of Battery Fast Charging Based-on Pontryagin's Minimum Principle.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Interval Observer for SOC Estimation in Parallel-Connected Lithium-ion Batteries.
Proceedings of the 2020 American Control Conference, 2020

State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory.
Proceedings of the 2020 American Control Conference, 2020

Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems.
Proceedings of the 2020 American Control Conference, 2020

Analysis of Online Parameter Estimation for Electrochemical Li-ion Battery Models via Reduced Sensitivity Equations.
Proceedings of the 2020 American Control Conference, 2020

Inducing Human Behavior to Alleviate Overstay at PEV Charging Station.
Proceedings of the 2020 American Control Conference, 2020

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network.
Proceedings of the 2020 American Control Conference, 2020

2019
Data-Driven Chance-Constrained Regulation Capacity Offering for Distributed Energy Resources.
IEEE Trans. Smart Grid, 2019

Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids.
IEEE Trans. Smart Grid, 2019

Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments.
IEEE Trans. Control. Syst. Technol., 2019

Robust fault detection of a class of uncertain linear parabolic PDEs.
Autom., 2019

Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems.
Proceedings of the 2019 American Control Conference, 2019

Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights.
Proceedings of the 2019 American Control Conference, 2019

2018
PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks.
IEEE Trans. Smart Grid, 2018

Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage.
IEEE Trans. Smart Grid, 2018

PDE Modeling and Control of Electric Vehicle Fleets for Ancillary Services: A Discrete Charging Case.
IEEE Trans. Smart Grid, 2018

Dual Hopfield Methods for Large-Scale Mixed-Integer Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robust Fault Diagnosis of Uncertain One-dimensional Wave Equations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress.
Proceedings of the 2018 Annual American Control Conference, 2018

Robust Optimal ECO-driving Control with Uncertain Traffic Signal Timing.
Proceedings of the 2018 Annual American Control Conference, 2018

Optimal Input Design for Parameter Identification in an Electrochemical Li-ion Battery Model.
Proceedings of the 2018 Annual American Control Conference, 2018

Robustness of Boundary Observers for Radial Diffusion Equations to Parameter Uncertainty.
Proceedings of the 2018 Annual American Control Conference, 2018

System Analysis and Optimization of Human-Actuated Dynamical Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics.
IEEE Trans. Veh. Technol., 2017

State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model.
IEEE Trans. Control. Syst. Technol., 2017

Battery State Estimation for a Single Particle Model With Electrolyte Dynamics.
IEEE Trans. Control. Syst. Technol., 2017

Stochastic day ahead load scheduling for aggregated distributed energy resources.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Blockchains for decentralized optimization of energy resources in microgrid networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics.
Proceedings of the 2017 American Control Conference, 2017

Hybrid electrochemical modeling with recurrent neural networks for li-ion batteries.
Proceedings of the 2017 American Control Conference, 2017

Thermal fault diagnostics in Lithium-ion batteries based on a distributed parameter thermal model.
Proceedings of the 2017 American Control Conference, 2017

2016
Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2016

Coordination of V2G and distributed wind power using the storage-like aggregate PEV model.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Optimal charging of batteries via a single particle model with electrolyte and thermal dynamics.
Proceedings of the 2016 American Control Conference, 2016

2015
Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2015

Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2015

Estimation and control of battery electrochemistry models: A tutorial.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed optimal charging of electric vehicles for demand response and load shaping.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Privacy-preserving dual splitting distributed optimization with application to load flattening in California.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data enabled predictive energy management of a PV-battery smart home nanogrid.
Proceedings of the American Control Conference, 2015

Integrating traffic velocity data into predictive energy management of plug-in hybrid electric vehicles.
Proceedings of the American Control Conference, 2015

Sensitivity-based interval PDE observer for battery SOC estimation.
Proceedings of the American Control Conference, 2015

Optimal charging of vehicle-to-grid fleets via PDE aggregation techniques.
Proceedings of the American Control Conference, 2015

2014
Parameter identification of aggregated thermostatically controlled loads for smart grids using PDE techniques.
Int. J. Control, 2014

2013
Battery-Health Conscious Power Management in Plug-In Hybrid Electric Vehicles via Electrochemical Modeling and Stochastic Control.
IEEE Trans. Control. Syst. Technol., 2013

Observer design for boundary coupled PDEs: Application to thermostatically controlled loads in smart grids.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Constraint management in Li-ion batteries: A modified reference governor approach.
Proceedings of the American Control Conference, 2013

2012
On optimizing sensor placement for spatio-temporal temperature estimation in large battery packs.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

PDE estimation techniques for advanced battery management systems - Part II: SOH identification.
Proceedings of the American Control Conference, 2012

PDE estimation techniques for advanced battery management systems - Part I: SOC estimation.
Proceedings of the American Control Conference, 2012

2011
Optimal Control of Film Growth in Lithium-Ion Battery Packs via Relay Switches.
IEEE Trans. Ind. Electron., 2011

A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles.
IEEE Trans. Control. Syst. Technol., 2011

Optimal boundary control & estimation of diffusion-reaction PDEs.
Proceedings of the American Control Conference, 2011

Genetic parameter identification of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO4 battery.
Proceedings of the American Control Conference, 2011

2010
Asymptotic convergence through Lyapunov-based switching in extremum seeking with application to photovoltaic systems.
Proceedings of the American Control Conference, 2010

Charge trajectory optimization of plug-in hybrid electric vehicles for energy cost reduction and battery health enhancement.
Proceedings of the American Control Conference, 2010

2009
Air flow control in fuel cell systems: An extremum seeking approach.
Proceedings of the American Control Conference, 2009

2008
Impact of battery sizing on stochastic optimal power management in plug-in hybrid electric vehicles.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2008


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