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20202025
most citedDeep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

36 citations · 68 across the 8 of their papers we have counts for

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7 papers · 1 filter

eess.SY2025

Safe Data-Driven Predictive Control

Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang +3

In the realm of control systems, model predictive control (MPC) has exhibited remarkable potential; however, its reliance on accurate models and substantial computational resources…

eess.SY2023★ 2 cited

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…

eess.SY2022★ 13 cited

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…

eess.SY2022

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…

eess.SY2021★ 36 cited

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…

eess.SY2020★ 6 cited

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…

eess.SY2020★ 2 cited

MPC-based Vibration Control and Energy Harvesting Using an Electromagnetic Vibration Absorber With Inertia Nonlinearity

Kaian Chen, Zhaojian Li, Wei-Che Tai +2

Simultaneous vibration control and energy harvesting of vehicle suspensions has attracted great research interests over the past decades. However, existing frameworks tradeoff susp…