215 citations · 271 across the 9 of their papers we have counts for
9 papers
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Zhili Zhang, Shuo Han +5
Electric vehicles (EVs) are being rapidly adopted due to their economic and societal benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend. However, the lo…
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Lynn Pepin, Guang Wang +2
As electric vehicle (EV) technologies become mature, EV has been rapidly adopted in modern transportation systems, and is expected to provide future autonomous mobility-on-demand (…
Robust Constrained Reinforcement Learning
Yue Wang, Fei Miao, Shaofeng Zou
Constrained reinforcement learning is to maximize the expected reward subject to constraints on utilities/costs. However, the training environment may not be the same as the test o…
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid
Lynn Pepin, Lizhi Wang, Jiangwei Wang +5
Traditional botnet attacks leverage large and distributed numbers of compromised internet-connected devices to target and overwhelm other devices with internet packets. With increa…
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles
Songyang Han, He Wang, Sanbao Su +2
With the development of sensing and communication technologies in networked cyber-physical systems (CPSs), multi-agent reinforcement learning (MARL)-based methodologies are integra…
A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems
Fei Miao, Quanyan Zhu, Miroslav Pajic +1
In this paper, we establish a zero-sum, hybrid state stochastic game model for designing defense policies for cyber-physical systems against different types of attacks. With the in…
Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks
Fei Miao, Quanyan Zhu, Miroslav Pajic +1
This paper considers a method of coding the sensor outputs in order to detect stealthy false data injection attacks. An intelligent attacker can design a sequence of data injection…
Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach
Fei Miao, Shuo Han, Shan Lin +6
Traditional taxi systems in metropolitan areas often suffer from inefficiencies due to uncoordinated actions as system capacity and customer demand change. With the pervasive deplo…
Data-Driven Robust Taxi Dispatch under Demand Uncertainties
Fei Miao, Shuo Han, Shan Lin +6
In modern taxi networks, large amounts of taxi occupancy status and location data are collected from networked in-vehicle sensors in real-time. They provide knowledge of system mod…