167 citations · 502 across the 33 of their papers we have counts for
23 papers · 1 filter
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…
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…
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…
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…
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…
Privacy-Preserving Dynamic Average Consensus via State Decomposition: Case Study on Multi-Robot Formation Control
Kaixiang Zhang, Zhaojian Li, Yongqiang Wang +2
Dynamic average consensus is a decentralized control/estimation framework where a group of agents cooperatively track the average of local time-varying reference signals. In this p…
Privacy-Preserved Collaborative Estimation for Networked Vehicles with Application to Road Anomaly Detection
Huan Gao, Zhaojian Li, Yongqiang Wang
Road information such as road profile and traffic density have been widely used in intelligent vehicle systems to improve road safety, ride comfort, and fuel economy. However, vehi…
Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control
Shuo Feng, Ziyou Song, Zhaojian Li +2
The design of cooperative adaptive cruise control is critical in mixed traffic flow, where connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist. Compare…
A New Microscopic Traffic Model Using a Spring-Mass-Damper-Clutch System
Zhaojian Li, Firas Khasawneh, Xiang Yin +2
Microscopic traffic models describe how cars interact with their neighbors in an uninterrupted traffic flow and are frequently used for reference in advanced vehicle control design…
Cloud Resource Allocation for Cloud-Based Automotive Applications
Zhaojian Li, Tianshu Chu, Ilya V. Kolmanovsky +2
There is a rapidly growing interest in the use of cloud computing for automotive vehicles to facilitate computation and data intensive tasks. Efficient utilization of on-demand clo…
H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information
Zhaojian Li, Ilya Kolmanovsky, Ella Atkins +2
This chapter presents an H-infinity filtering framework for cloud-aided semiactive suspension system with time-varying delays. In this system, road profile information is downloade…