167 citations · 502 across the 33 of their papers we have counts for
33 papers
Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy
Xubo Gu, Hanyu Bai, Xiaofan Cui +5
Due to the increasing volume of Electric Vehicles in automotive markets and the limited lifetime of onboard lithium-ion batteries (LIBs), the large-scale retirement of LIBs is immi…
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
Dong Chen, Kaixiang Zhang, Yongqiang Wang +3
Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs…
A Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees
Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang +3
Despite great successes, model predictive control (MPC) relies on an accurate dynamical model and requires high onboard computational power, impeding its wider adoption in engineer…
Overtaking-enabled Eco-approach Control at Signalized Intersections for Connected and Automated Vehicles
Haoxuan Dong, Weichao Zhuang, Guoyuan Wu +3
Preceding vehicles typically dominate the movement of following vehicles in traffic systems, thereby significantly influencing the efficacy of eco-driving control that concentrates…
Extended Neighboring Extremal Optimal Control with State and Preview Perturbations
Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li +3
Optimal control schemes have achieved remarkable performance in numerous engineering applications. However, they typically require high computational cost, which has limited their…
Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors
Dongjun Li, Kaixiang Zhang, Haoxuan Dong +3
Data-driven cooperative control of connected and automated vehicles (CAVs) has gained extensive research interest as it can utilize collected data to generate control actions witho…
ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation
Huanqing Wang, Kaixiang Zhang, Keyi Zhu +2
With the rapid surge in the number of on-road Electric Vehicles (EVs), the amount of spent lithium-ion (Li-ion) batteries is also expected to explosively grow. The spent battery pa…
Dimension Reduction for Efficient Data-Enabled Predictive Control
Kaixiang Zhang, Yang Zheng, Chao Shang +1
In this letter, we propose a simple yet effective singular value decomposition (SVD) based strategy to reduce the optimization problem dimension in data-enabled predictive control…
Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling
Kaixiang Zhang, Kaian Chen, Xinfan Lin +5
Fast charging of lithium-ion batteries has gained extensive research interests, but most of existing methods are either based on simple rule-based charging profiles or require expl…
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving
Fengying Dang, Dong Chen, Jun Chen +1
Event-triggered model predictive control (eMPC) is a popular optimal control method with an aim to alleviate the computation and/or communication burden of MPC. However, it general…
A Nonlinear Lateral Controller Design for Vehicle Path-following with an Arbitrary Sensor Location
Wubing B. Qin, Zhaojian Li
This paper investigates the lateral control problem in vehicular path-following when the feedback sensor(s) are mounted at an arbitrary location in the longitudinal symmetric axis.…
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic
Kaixiang Zhang, Kaian Chen, Zhaojian Li +2
Data-driven predictive control of connected and automated vehicles (CAVs) has received increasing attention as it can achieve safe and optimal control without relying on explicit d…
Algorithm Design and Integration for a Robotic Apple Harvesting System
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +3
Due to labor shortage and rising labor cost for the apple industry, there is an urgent need for the development of robotic systems to efficiently and autonomously harvest apples. I…
Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking
Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +1
With the advent of 5G technology that presents enhanced communication reliability and ultra low latency, there is renewed interest in employing cloud computing to perform high perf…
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement
Tianyu Shi, Dong Chen, Kaian Chen +1
Reinforcement learning (RL) is a powerful data-driven control method that has been largely explored in autonomous driving tasks. However, conventional RL approaches learn control p…
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
Wei Zhou, Dong Chen, Jun Yan +3
Autonomous driving has attracted significant research interests in the past two decades as it offers many potential benefits, including releasing drivers from exhausting driving an…
Cloud-Assisted Collaborative Road Information Discovery with Gaussian Process: Application to Road Profile Estimation
Mohammad R. Hajidavalloo, Zhaojian Li, Xin Xia +3
There is an increasing popularity in exploiting modern vehicles as mobile sensors to obtain important road information such as potholes, black ice and road profile. Availability of…
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks
Nan Li, Kaixiang Zhang, Zhaojian Li +2
Cloud computing creates new possibilities for control applications by offering powerful computation and storage capabilities. In this paper, we propose a novel cloud-assisted model…
Simultaneous Suspension Control and Energy Harvesting through Novel Design and Control of a New Nonlinear Energy Harvesting Shock Absorber
Mohammad R. Hajidavalloo, Joel Cosner, Zhaojian Li +2
Simultaneous vibration control and energy harvesting of vehicle suspensions have attracted significant research attention over the past decades. However, existing energy harvesting…
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic
Dong Chen, Mohammad Hajidavalloo, Zhaojian Li +4
On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate th…
A Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation
Mohammad R. Hajidavalloo, Zhaojian Li, Dong Chen +3
In this paper, we develop a mechanical system inspired microscopic traffic model to characterize the longitudinal interaction dynamics among a chain of vehicles. In particular, we…
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen, Kaian Chen. Zhaojian Li, Tianshu Chu +3
This paper develops an efficient multi-agent deep reinforcement learning algorithm for cooperative controls in powergrids. Specifically, we consider the decentralized inverter-base…
System Design and Control of an Apple Harvesting Robot
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +2
There is a growing need for robotic apple harvesting due to decreasing availability and rising cost in labor. Towards the goal of developing a viable robotic system for apple harve…
DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN
Pengyu Chu, Zhaojian Li, Kyle Lammers +2
Robotic apple harvesting has received much research attention in the past few years due to growing shortage and rising cost in labor. One key enabling technology towards automated…