13 citations · 23 across the 12 of their papers we have counts for
9 papers · 1 filter
Joint Design for Electric Fleet Operator an Charging Service Provider: Understanding the Non-Cooperative Nature
Yiqi Zhao, Teng Zeng, Zaid Allybokus +2
This work proposes a new modeling framework for jointly optimizing the charging network design and the logistic mobility planning for an electric vehicle fleet. Existing literature…
Hopfield Neural Network Flow: A Geometric Viewpoint
Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca +1
We provide gradient flow interpretations for the continuous-time continuous-state Hopfield neural network (HNN). The ordinary and stochastic differential equations associated with…
Reinforcement Learning versus PDE Backstepping and PI Control for Congested Freeway Traffic
Huan Yu, Saehong Park, Alexandre Bayen +2
We develop reinforcement learning (RL) boundary controllers to mitigate stop-and-go traffic congestion on a freeway segment. The traffic dynamics of the freeway segment are governe…
Solving Overstay in PEV Charging Station Planning via Chance Constrained Optimization
Teng Zeng, Hongcai Zhang, Scott Moura
Currently, the utilization rate of public plug-in electric vehicle (PEV) charging stations is only 15%. During the other 85% of the time, the chargers are either idle or occupied b…
Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles
Hongcai Zhang, Colin J. R. Sheppard, Timothy E. Lipman +1
This paper studies the joint fleet sizing and charging system planning problem for a company operating a fleet of autonomous electric vehicles (AEVs) for passenger and goods transp…
Cybersecurity in Distributed and Fully-Decentralized Optimization: Distortions, Noise Injection, and ADMM
Eric Munsing, Scott Moura
As problems in machine learning, smartgrid dispatch, and IoT coordination problems have grown, distributed and fully-decentralized optimization models have gained attention for pro…