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ORCIDScott J. Moura
Scott Jason Moura
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- affiliation: University of California, Civil & Environmental Engineering, Berkeley, CA, USA
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2020 – today
- 2024
[j37]Aaron Kandel
, Scott J. Moura:
Safe Learning MPC With Limited Model Knowledge and Data. IEEE Trans. Control. Syst. Technol. 32(2): 472-487 (2024)- [j36]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): 849-861 (2024) - [j35]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): 770-782 (2024) - [j34]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): 4526-4529 (2024) - [i25]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 abs/2402.14183 (2024) - [i24]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 abs/2403.19633 (2024) - [i23]Hao Tu, Manashita Borah, Scott J. Moura, Yebin Wang, Huazhen Fang:
Remaining Energy Prediction for Lithium-Ion Batteries: A Machine Learning Approach. CoRR abs/2404.14767 (2024) - 2023
- [j33]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: 108222 (2023) - [j32]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): 646-659 (2023) - [j31]Aaron Kandel, Saehong Park, Scott J. Moura:
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems. IEEE Trans. Control. Syst. Technol. 31(3): 1196-1207 (2023) - [j30]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): 115-127 (2023) - [c64]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: 1729-1734 - [c63]Yi Ju, Teng Zeng, Zaid Allybokus, Scott J. Moura:
Optimal Operation with Robo-chargers in Plug-in Electric Vehicle Charging Stations. ACC 2023: 2487-2492 - [c62]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: 184-190 - 2022
- [j29]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): 1102-1115 (2022) - [j28]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): 1595-1611 (2022) - [j27]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): 1990-2001 (2022) - [c61]Chitra Dangwal, Dong Zhang, Luis D. Couto, Preet Gill, Sebastien Benjamin, Wente Zeng, Scott J. Moura:
Pack Level State-of-Power Prediction for Heterogeneous Cells*. ACC 2022: 1066-1073 - [c60]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: 1080-1086 - [c59]Guillaume Goujard, Patrick Keyantuo, Mathilde Badoual, Scott J. Moura:
Exploration vs. Exploitation in Airborne Wind Energy Systems via Information-Directed Sampling Control. ACC 2022: 3695-3701 - [c58]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: 785-790 - [c57]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: 160-165 - [i22]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 abs/2209.12107 (2022) - [i21]Yi Ju, Teng Zeng, Zaid Allybokus, Scott J. Moura:
Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay. CoRR abs/2212.03391 (2022) - 2021
- [j26]Dong Zhang, Satadru Dey, Shu-Xia Tang, Ross Drummond, Scott J. Moura:
Battery internal temperature estimation via a semilinear thermal PDE model. Autom. 133: 109849 (2021) - [j25]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): 1657-1662 (2021) - [j24]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): 3353-3363 (2021) - [c56]Mathilde D. Badoual, Scott J. Moura:
A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage. ACC 2021: 526-532 - [c55]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: 602-607 - [c54]Dong Zhang, Luis D. Couto, Scott J. Moura:
Electrode-Level State Estimation in Lithium-ion Batteries via Kalman Decomposition. ACC 2021: 3082-3087 - [c53]Saehong Park, Dong Zhang, Reinhardt Klein, Scott J. Moura:
Estimation of Cyclable Lithium for Li-ion Battery State-of-Health Monitoring. ACC 2021: 3094-3101 - [c52]Dylan Kato, Scott J. Moura:
1D PDE Model for Thermal Dynamics in Fluid-Cooled Battery Packs: Numerical Methods and Sensor Placement. ACC 2021: 3102-3107 - [c51]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: 3114-3119 - [c50]Hao Tu, Scott J. Moura, Huazhen Fang:
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries. ACC 2021: 4401-4407 - [c49]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: 69-75 - [c48]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: 521-526 - [c47]Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura:
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. IV 2021: 652-659 - [i20]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 abs/2101.10436 (2021) - [i19]Hao Tu, Scott J. Moura, Huazhen Fang:
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries. CoRR abs/2103.11580 (2021) - [i18]Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura:
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. CoRR abs/2104.04105 (2021) - [i17]Aaron Kandel, Saehong Park, Scott J. Moura:
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems. CoRR abs/2105.10070 (2021) - [i16]Mathilde D. Badoual, Scott J. Moura:
A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage. CoRR abs/2106.02396 (2021) - [i15]Hao Tu, Scott J. Moura, Yebin Wang, Huazhen Fang:
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries. CoRR abs/2112.12979 (2021) - 2020
- [j23]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): 3759-3773 (2020) - [j22]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): 992-1000 (2020) - [j21]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): 1363-1377 (2020) - [j20]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): 3504-3514 (2020) - [j19]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): 4725-4738 (2020) - [j18]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): 4869-4880 (2020) - [c46]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: 373-378 - [c45]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: 1149-1154 - [c44]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: 1209-1216 - [c43]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: 2207-2212 - [c42]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: 2225-2231 - [c41]Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura:
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. ACC 2020: 2388-2394 - [c40]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: 100-107 - [c39]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: 245-252 - [c38]Bertrand Travacca, Laurent El Ghaoui, Scott J. Moura:
Implicit Optimization: Models and Methods. CDC 2020: 408-415 - [c37]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: 3506-3513 - [c36]Yu Zhang, Scott J. Moura:
Stochastic Optimal Load Shedding with Heterogeneous Load Zones. ISGT 2020: 1-5 - [i14]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 abs/2001.07591 (2020) - [i13]Laurel N. Dunn, Ioanna Kavvada, Mathilde Badoual, Scott J. Moura:
Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures. CoRR abs/2001.07597 (2020) - [i12]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 abs/2002.02060 (2020) - [i11]Aaron Kandel, Scott J. Moura:
Safe Wasserstein Constrained Deep Q-Learning. CoRR abs/2002.03016 (2020) - [i10]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 abs/2003.07972 (2020) - [i9]Aaron Kandel, Scott J. Moura:
Safe Zero-Shot Model-Based Learning and Control: A Wasserstein Distributionally Robust Approach. CoRR abs/2004.00759 (2020) - [i8]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 abs/2006.03704 (2020)
2010 – 2019
- 2019
- [j17]Satadru Dey, Hector Eduardo Perez, Scott J. Moura:
Robust fault detection of a class of uncertain linear parabolic PDEs. Autom. 107: 502-510 (2019) - [j16]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): 576-587 (2019) - [j15]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): 2334-2344 (2019) - [j14]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): 2713-2725 (2019) - [c35]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: 2197-2202 - [c34]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: 4628-4634 - [c33]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: 1279-1285 - [i7]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 abs/1903.08784 (2019) - [i6]Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca, Scott J. Moura:
Hopfield Neural Network Flow: A Geometric Viewpoint. CoRR abs/1908.01270 (2019) - [i5]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 abs/1909.05665 (2019) - [i4]Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura:
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. CoRR abs/1912.02341 (2019) - 2018
- [j13]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): 573-581 (2018) - [j12]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): 2065-2075 (2018) - [j11]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): 2595-2605 (2018) - [c32]Dong Zhang, Satadru Dey, Scott J. Moura:
Lithium-Ion Battery State Estimation for a Single Particle Model with Intercalation-Induced Stress. ACC 2018: 2294-2299 - [c31]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: 2300-2305 - [c30]Leobardo Camacho-Solorio, Scott J. Moura, Miroslav Krstic:
Robustness of Boundary Observers for Radial Diffusion Equations to Parameter Uncertainty. ACC 2018: 3484-3489 - [c29]Sangjae Bae, Sang Min Han, Scott J. Moura:
System Analysis and Optimization of Human-Actuated Dynamical Systems. ACC 2018: 4539-4545 - [c28]Chao Sun, Xinwei Shen, Scott J. Moura:
Robust Optimal ECO-driving Control with Uncertain Traffic Signal Timing. ACC 2018: 5548-5553 - [c27]Satadru Dey, Scott J. Moura:
Robust Fault Diagnosis of Uncertain One-dimensional Wave Equations. CDC 2018: 2902-2907 - [c26]Bertrand Travacca, Scott J. Moura:
Dual Hopfield Methods for Large-Scale Mixed-Integer Programming. CDC 2018: 4959-4966 - [i3]Chao Sun, Xinwei Shen, Scott J. Moura:
Robust Optimal Eco-driving Control with Uncertain Traffic Signal Timing. CoRR abs/1802.07192 (2018) - [i2]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 abs/1810.12442 (2018) - 2017
- [j10]Baojin Wang, Zhiyuan Liu, Shengbo Eben Li, Scott Jason Moura, Huei Peng:
State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model. IEEE Trans. Control. Syst. Technol. 25(1): 3-11 (2017) - [j9]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): 453-468 (2017) - [j8]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): 7761-7770 (2017) - [c25]Satadru Dey, Hector Eduardo Perez, Scott J. Moura:
Thermal fault diagnostics in Lithium-ion batteries based on a distributed parameter thermal model. ACC 2017: 68-73 - [c24]Saehong Park, Dong Zhang, Scott J. Moura:
Hybrid electrochemical modeling with recurrent neural networks for li-ion batteries. ACC 2017: 3777-3782 - [c23]Dong Zhang, Satadru Dey, Hector Eduardo Perez, Scott J. Moura:
Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics. ACC 2017: 4042-4047 - [c22]Eric Munsing, Jonathan Mather, Scott J. Moura:
Blockchains for decentralized optimization of energy resources in microgrid networks. CCTA 2017: 2164-2171 - [c21]Bertrand Travacca, Sangjae Bae, Jiacheng Wu, Scott J. Moura:
Stochastic day ahead load scheduling for aggregated distributed energy resources. CCTA 2017: 2172-2179 - 2016
- [j7]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): 1036-1043 (2016) - [c20]Hector Eduardo Perez, Xiaosong Hu, Scott J. Moura:
Optimal charging of batteries via a single particle model with electrolyte and thermal dynamics. ACC 2016: 4000-4005 - [c19]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: 1-5 - [i1]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 abs/1606.06682 (2016) - 2015
- [j6]Chao Sun, Scott Jason Moura, Xiaosong Hu, J. Karl Hedrick, Fengchun Sun:
Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles. IEEE Trans. Control. Syst. Technol. 23(3): 1075-1086 (2015) - [j5]Chao Sun, Xiaosong Hu, Scott J. Moura, Fengchun Sun:
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles. IEEE Trans. Control. Syst. Technol. 23(3): 1197-1204 (2015) - [c18]Hector Eduardo Perez, Scott J. Moura:
Sensitivity-based interval PDE observer for battery SOC estimation. ACC 2015: 323-328 - [c17]Chao Sun, Fengchun Sun, Scott J. Moura:
Data enabled predictive energy management of a PV-battery smart home nanogrid. ACC 2015: 1023-1028 - [c16]Chao Sun, Fengchun Sun, Xiaosong Hu, J. Karl Hedrick, Scott J. Moura:
Integrating traffic velocity data into predictive energy management of plug-in hybrid electric vehicles. ACC 2015: 3267-3272 - [c15]Caroline Le Floch, Florent Di Meglio, Scott J. Moura:
Optimal charging of vehicle-to-grid fleets via PDE aggregation techniques. ACC 2015: 3285-3291 - [c14]Francois Belletti, Caroline Le Floch, Scott J. Moura, Alexandre M. Bayen:
Privacy-preserving dual splitting distributed optimization with application to load flattening in California. CDC 2015: 3355-3360 - [c13]Scott J. Moura:
Estimation and control of battery electrochemistry models: A tutorial. CDC 2015: 3906-3912 - [c12]Caroline Le Floch, Francois Belletti, Samveg Saxena, Alexandre M. Bayen, Scott J. Moura:
Distributed optimal charging of electric vehicles for demand response and load shaping. CDC 2015: 6570-6576 - 2014
- [j4]