Scott J. Moura

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 101

Top Venues

ACC

CoRR

IEEE Trans. Control. Syst. Technol.

CDC

Publications

Xu Shen, Yongkeun Choi, Alex Wong, Francesco Borrelli, Scott J. Moura, Soomin Woo
Parking of Connected Automated Vehicles: Vehicle Control, Parking Assignment, and Multi-agent Simulation. CoRR (2024)
Aaron Kandel, Scott J. Moura
Safe Learning MPC With Limited Model Knowledge and Data. IEEE Trans. Control. Syst. Technol. 32 (2) (2024)
Yi Ju, Teng Zeng, Zaid Allybokus, Scott J. Moura
Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay. IEEE Trans. Smart Grid 15 (1) (2024)
Ricardo Pinto de Castro, Scott J. Moura, Rui Esteves, Keith A. Corzine
Guest Editorial Introduction to the Special Section on Next Generation Zero-Emission Vehicles. IEEE Trans. Veh. Technol. 73 (4) (2024)
Zhijia Huang, Luis D. Couto, Chitra Dangwal, Shujie Xiao, Wei Lv, Dong Zhang, Scott J. Moura
On Electrochemical Model-Based State Estimation for Lithium-Sulfur Batteries. IEEE Trans. Control. Syst. Technol. 32 (3) (2024)
Hao Tu, Manashita Borah, Scott J. Moura, Yebin Wang, Huazhen Fang
Remaining Energy Prediction for Lithium-Ion Batteries: A Machine Learning Approach. CoRR (2024)
Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks. CoRR (2024)
Guillaume Goujard, Chitra Dangwal, Preet Gill, Dylan Kato, Scott J. Moura
Modeling and State Estimation for Lithium Sulfur Batteries as a Piecewise Affine System. CDC (2023)
Andrea Pozzi, Scott J. Moura, Daniele Toti
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Comput. Chem. Eng. 173 (2023)
Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. IEEE Trans. Control. Syst. Technol. 31 (2) (2023)
Ruiting Wang, Teng Zeng, Patrick Keyantuo, Jairo A. Sandoval, Aashrith Vishwanath, Hoseinali Borhan, Scott J. Moura
Optimal Dispatch and Routing of Electrified Heavy-Duty Truck Fleets: A Case Study with Fleet Data. ACC (2023)
Yiqi Zhao, Teng Zeng, Zaid Allybokus, Ye Guo, Scott J. Moura
Joint Design for Electric Fleet Operator and Charging Service Provider: Understanding the Non-Cooperative Nature. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Yi Ju, Teng Zeng, Zaid Allybokus, Scott J. Moura
Optimal Operation with Robo-chargers in Plug-in Electric Vehicle Charging Stations. ACC (2023)
Aaron Kandel, Saehong Park, Scott J. Moura
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems. IEEE Trans. Control. Syst. Technol. 31 (3) (2023)
Guillaume Goujard, Patrick Keyantuo, Mathilde Badoual, Scott J. Moura
Exploration vs. Exploitation in Airborne Wind Energy Systems via Information-Directed Sampling Control. ACC (2022)
Andrea Pozzi, Scott J. Moura, Daniele Toti
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. ICCA (2022)
Yi Ju, Teng Zeng, Zaid Allybokus, Scott J. Moura
Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay. CoRR (2022)
Huan Yu, Saehong Park, Alexandre M. Bayen, Scott J. Moura, Miroslav Krstic
Reinforcement Learning Versus PDE Backstepping and PI Control for Congested Freeway Traffic. IEEE Trans. Control. Syst. Technol. 30 (4) (2022)
Upadhi Vijay, Soomin Woo, Scott J. Moura, Akshat Jain, David Rodriguez, Sergio Gambacorta, Giuseppe Ferrara, Luigi Lanuzza, Christian Zulberti, Erika Mellekas, Carlo Papa
Valuation of Public Bus Electrification with Open Data. CoRR (2022)
Chitra Dangwal, Dong Zhang, Luis D. Couto, Preet Gill, Sebastien Benjamin, Wente Zeng, Scott J. Moura
. ACC (2022)
Preet Gill, Dong Zhang, Luis D. Couto, Chitra Dangwal, Sebastien Benjamin, Wente Zeng, Scott J. Moura
State-Of-Health Estimation Pipeline for Li-ion Battery Packs with Heterogeneous Cells. ACC (2022)
Dong Zhang, Luis D. Couto, Preet Gill, Sebastien Benjamin, Wente Zeng, Scott J. Moura
Thermal-Enhanced Adaptive Interval Estimation in Battery Packs With Heterogeneous Cells. IEEE Trans. Control. Syst. Technol. 30 (3) (2022)
Luis D. Couto, Raffaele Romagnoli, Saehong Park, Dong Zhang, Scott J. Moura, Michel Kinnaert, Emanuele Garone
Faster and Healthier Charging of Lithium-Ion Batteries via Constrained Feedback Control. IEEE Trans. Control. Syst. Technol. 30 (5) (2022)
Andrea Pozzi, Scott J. Moura, Daniele Toti
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. CCTA (2022)
Saehong Park, Dong Zhang, Reinhardt Klein, Scott J. Moura
Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring. ACC (2021)
Teng Zeng, Sangjae Bae, Bertrand Travacca, Scott J. Moura
Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station. IEEE Trans. Smart Grid 12 (4) (2021)
Dong Zhang, Luis D. Couto, Scott J. Moura
Electrode-Level State Estimation in Lithium-ion Batteries via Kalman Decomposition. ACC (2021)
Dong Zhang, Luis D. Couto, Scott J. Moura
Electrode-Level State Estimation in Lithium-Ion Batteries via Kalman Decomposition. IEEE Control. Syst. Lett. 5 (5) (2021)
Aaron Kandel, Saehong Park, Scott J. Moura
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems. CoRR (2021)
Dong Zhang, Satadru Dey, Shu-Xia Tang, Ross Drummond, Scott J. Moura
Battery internal temperature estimation via a semilinear thermal PDE model. Autom. 133 (2021)
Zhijia Huang, Dong Zhang, Luis D. Couto, Quan-Hong Yang, Scott J. Moura
State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries. CoRR (2021)
Mathilde D. Badoual, Scott J. Moura
A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage. ACC (2021)
Dylan Kato, Scott J. Moura
1D PDE Model for Thermal Dynamics in Fluid-Cooled Battery Packs: Numerical Methods and Sensor Placement. ACC (2021)
Hao Tu, Scott J. Moura, Huazhen Fang
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries. CoRR (2021)
Mathilde D. Badoual, Scott J. Moura
A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage. CoRR (2021)
Guillaume Goujard, Mathilde D. Badoual, Kieran A. Janin, Salomé Schwarz, Scott J. Moura
Optimal Siting, Sizing and Bid Scheduling of a Price-Maker Battery on a Nodal Wholesale Market. ACC (2021)
Zhijia Huang, Dong Zhang, Luis D. Couto, Quan-Hong Yang, Scott J. Moura
State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries. ACC (2021)
Ben Haydon, Kirti D. Mishra, Patrick Keyantuo, Dimitra Panagou, Fotini K. Chow, Scott J. Moura, Chris Vermillion
Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments. CDC (2021)
Hao Tu, Scott J. Moura, Yebin Wang, Huazhen Fang
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries. CoRR (2021)
Hao Tu, Scott J. Moura, Huazhen Fang
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries. ACC (2021)
Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. CoRR (2021)
Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. IV (2021)
Patrick Keyantuo, Laurel N. Dunn, Ben Haydon, Christopher Vermillion, Fotini K. Chow, Scott J. Moura
A Vector Auto-Regression Based Forecast of Wind Speeds in Airborne Wind Energy Systems. CCTA (2021)
Hongcai Zhang, Colin J. R. Sheppard, Timothy E. Lipman, Scott J. Moura
Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Aaron Kandel, Scott J. Moura
Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach. CoRR (2020)
Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. ACC (2020)
Aaron Kandel, Scott J. Moura
Safe Wasserstein Constrained Deep Q-Learning. CoRR (2020)
Saehong Park, Donggun Lee, Hyoung Jun Ahn, Claire J. Tomlin, Scott J. Moura
Optimal Control of Battery Fast Charging Based-on Pontryagin's Minimum Principle. CDC (2020)
Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CoRR (2020)
Dong Zhang, Luis D. Couto, Sebastien Benjamin, Wente Zeng, Daniel F. Coutinho, Scott J. Moura
State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory. ACC (2020)
Bertrand Travacca, Laurent El Ghaoui, Scott J. Moura
Implicit Optimization: Models and Methods. CDC (2020)
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network. ACC (2020)
Zachary T. Gima, Dylan Kato, Reinhardt Klein, Scott J. Moura
Analysis of Online Parameter Estimation for Electrochemical Li-ion Battery Models via Reduced Sensitivity Equations. ACC (2020)
Laurel N. Dunn, Christopher Vermillion, Fotini K. Chow, Scott J. Moura
On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems. CoRR (2020)
Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca, Scott J. Moura
Hopfield Neural Network Flow: A Geometric Viewpoint. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Chao Sun, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections. IEEE Internet Things J. 7 (5) (2020)
Yu Zhang, Scott J. Moura
Stochastic Optimal Load Shedding with Heterogeneous Load Zones. ISGT (2020)
Dong Zhang, Satadru Dey, Luis D. Couto, Scott J. Moura
Battery Adaptive Observer for a Single-Particle Model With Intercalation-Induced Stress. IEEE Trans. Control. Syst. Technol. 28 (4) (2020)
Dong Zhang, Luis D. Couto, Sebastien Benjamin, Wente Zeng, Daniel F. Coutinho, Scott J. Moura
State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory. CoRR (2020)
Yongkeun Choi, Jacopo Guanetti, Scott J. Moura, Francesco Borrelli
Data-driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information. CoRR (2020)
Dong Zhang, Luis D. Couto, Preet Gill, Sebastien Benjamin, Wente Zeng, Scott J. Moura
Interval Observer for SOC Estimation in Parallel-Connected Lithium-ion Batteries. ACC (2020)
Dong Zhang, Satadru Dey, Hector Eduardo Perez, Scott J. Moura
Real-Time Capacity Estimation of Lithium-Ion Batteries Utilizing Thermal Dynamics. IEEE Trans. Control. Syst. Technol. 28 (3) (2020)
Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli, Davide Martino Raimondo, Scott J. Moura
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC (2020)
Laurel N. Dunn, Ioanna Kavvada, Mathilde Badoual, Scott J. Moura
Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures. CoRR (2020)
Aaron Kandel, Saehong Park, Hector Eduardo Perez, Geumbee Kim, Yohwan Choi, Hyoung Jun Ahn, Won Tae Joe, Scott J. Moura
Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems. ACC (2020)
Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Eduardo Perez, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CCTA (2020)
Teng Zeng, Hongcai Zhang, Scott J. Moura
Solving Overstay and Stochasticity in PEV Charging Station Planning With Real Data. IEEE Trans. Ind. Informatics 16 (5) (2020)
Sangjae Bae, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. ACC (2019)
Satadru Dey, Hector Eduardo Perez, Scott J. Moura
Model-Based Battery Thermal Fault Diagnostics: Algorithms, Analysis, and Experiments. IEEE Trans. Control. Syst. Technol. 27 (2) (2019)
Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. CDC (2019)
Hongcai Zhang, Zechun Hu, Eric Munsing, Scott J. Moura, Yonghua Song
Data-Driven Chance-Constrained Regulation Capacity Offering for Distributed Energy Resources. IEEE Trans. Smart Grid 10 (3) (2019)
Caroline Le Floch, Somil Bansal, Claire J. Tomlin, Scott J. Moura, Melanie N. Zeilinger
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids. IEEE Trans. Smart Grid 10 (3) (2019)
Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. CoRR (2019)
Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca, Scott J. Moura
Hopfield Neural Network Flow: A Geometric Viewpoint. CoRR (2019)
Laurel N. Dunn, Christopher Vermillion, Fotini K. Chow, Scott J. Moura
On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems. ACC (2019)
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network. CoRR (2019)
Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. CoRR (2019)
Satadru Dey, Hector Eduardo Perez, Scott J. Moura
Robust fault detection of a class of uncertain linear parabolic PDEs. Autom. 107 (2019)
Bertrand Travacca, Scott J. Moura
Dual Hopfield Methods for Large-Scale Mixed-Integer Programming. CDC (2018)
Hongcai Zhang, Scott J. Moura, Zechun Hu, Yonghua Song
PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks. IEEE Trans. Smart Grid 9 (4) (2018)
Caroline Le Floch, Emre Can Kara, Scott J. Moura
PDE Modeling and Control of Electric Vehicle Fleets for Ancillary Services: A Discrete Charging Case. IEEE Trans. Smart Grid 9 (2) (2018)
Xiaohua Wu, Xiaosong Hu, Xiaofeng Yin, Scott J. Moura
Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage. IEEE Trans. Smart Grid 9 (3) (2018)
Leobardo Camacho-Solorio, Scott J. Moura, Miroslav Krstic
Robustness of Boundary Observers for Radial Diffusion Equations to Parameter Uncertainty. ACC (2018)
Sangjae Bae, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. CoRR (2018)
Sangjae Bae, Sang Min Han, Scott J. Moura
System Analysis and Optimization of Human-Actuated Dynamical Systems. ACC (2018)
Chao Sun, Xinwei Shen, Scott J. Moura
Robust Optimal Eco-driving Control with Uncertain Traffic Signal Timing. CoRR (2018)
Satadru Dey, Scott J. Moura
Robust Fault Diagnosis of Uncertain One-dimensional Wave Equations. CDC (2018)
Saehong Park, Dylan Kato, Zach Gima, Reinhardt Klein, Scott J. Moura
Optimal Input Design for Parameter Identification in an Electrochemical Li-ion Battery Model. ACC (2018)
Dong Zhang, Satadru Dey, Scott J. Moura
Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress. ACC (2018)
Chao Sun, Xinwei Shen, Scott J. Moura
Robust Optimal ECO-driving Control with Uncertain Traffic Signal Timing. ACC (2018)
Scott J. Moura, Federico Bribiesca Argomedo, Reinhardt Klein, Anahita Mirtabatabaei, Miroslav Krstic
Battery State Estimation for a Single Particle Model With Electrolyte Dynamics. IEEE Trans. Control. Syst. Technol. 25 (2) (2017)
Bertrand Travacca, Sangjae Bae, Jiacheng Wu, Scott J. Moura
Stochastic day ahead load scheduling for aggregated distributed energy resources. CCTA (2017)
Eric Munsing, Jonathan Mather, Scott J. Moura
Blockchains for decentralized optimization of energy resources in microgrid networks. CCTA (2017)
Hector Eduardo Perez, Xiaosong Hu, Satadru Dey, Scott J. Moura
Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics. IEEE Trans. Veh. Technol. 66 (9) (2017)
Saehong Park, Dong Zhang, Scott J. Moura
Hybrid electrochemical modeling with recurrent neural networks for li-ion batteries. ACC (2017)
Satadru Dey, Hector Eduardo Perez, Scott J. Moura
Thermal fault diagnostics in Lithium-ion batteries based on a distributed parameter thermal model. ACC (2017)
Dong Zhang, Satadru Dey, Hector Eduardo Perez, Scott J. Moura
Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics. ACC (2017)
Xiaosong Hu, Scott J. Moura, Nikolce Murgovski, Bo Egardt, Dongpu Cao
Integrated Optimization of Battery Sizing, Charging, and Power Management in Plug-In Hybrid Electric Vehicles. IEEE Trans. Control. Syst. Technol. 24 (3) (2016)
Caroline Le Floch, Somil Bansal, Claire J. Tomlin, Scott J. Moura, Melanie Nicole Zeilinger
Plug-and-Play Model Predictive Control for Load Shaping and Voltage Control in Smart Grids. CoRR (2016)
Hongcai Zhang, Zechun Hu, Yong-Hua Song, Scott J. Moura
Coordination of V2G and distributed wind power using the storage-like aggregate PEV model. ISGT (2016)

Scott J. Moura.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Scott J. Moura