activity
20232026
most citedNeural Operators for Adaptive Control of Freeway Traffic

7 citations · 13 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SY2026

Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs with Boundary Input Delay

Yihuai Zhang, Yidan Cao, Huan Yu +1

This paper studies the robust stabilization of 2 2 linear hyperbolic partial differential equations (PDEs) with Markov-jumping parameters and boundary input delay. The mai…

eess.SY2026

Event-Triggered Gain Scheduling of 2 x 2 Linear Hyperbolic PDEs via Neural Operators (Full Version)

Yihuai Zhang, Jean Auriol, Nicolas Espitia +1

This paper introduces a new framework for event-triggered gain scheduling applied to linear hyperbolic Partial Differential Equations (PDEs) with time- and space-varying coefficien…

eess.SY2025

Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions

Yihuai Zhang, Huan Yu

Modeling and congestion mitigation of mixed-autonomy traffic systems consisting of human-driven vehicles (HVs) and autonomous vehicles (AVs) have become increasingly critical with…

eess.SY2025

Adaptive Event-triggered Formation Control of Autonomous Vehicles

Ziming Wang, Yihuai Zhang, Chenguang Zhao +1

This paper presents adaptive event-triggered formation control strategies for autonomous vehicles (AVs) subject to longitudinal and lateral motion uncertainties. The proposed frame…

math.OC2025

Neural Operators for Adaptive Control of Traffic Flow Models

Kaijing Lyu, Junmin Wang, Yihuai Zhang +1

The uncertainty in human driving behaviors leads to stop-and-go instabilities in freeway traffic. The traffic dynamics are typically modeled by the Aw-Rascle-Zhang (ARZ) Partial Di…

eess.SY2024

Operator Learning for Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs

Yihuai Zhang, Jean Auriol, Huan Yu

This paper addresses the problem of robust stabilization for linear hyperbolic Partial Differential Equations (PDEs) with Markov-jumping parameter uncertainty. We consider a 2 x 2…

eess.SY2024

Mitigating Stop-and-Go Traffic Congestion with Operator Learning

Yihuai Zhang, Ruiguo Zhong, Huan Yu

This paper presents a novel neural operator learning framework for designing boundary control to mitigate stop-and-go congestion on freeways. The freeway traffic dynamics are descr…

math.OC2024★ 7 cited

Neural Operators for Adaptive Control of Freeway Traffic

Kaijing Lv, Junmin Wang, Yihuai Zhang +1

Uncertainty and delayed reactions in human driving behavior lead to stop-and-go traffic congestion on freeways. The freeway traffic dynamics are governed by the Aw-Rascle-Zhang (AR…

eess.SY2024

Event-triggered Boundary Control of Mixed-autonomy Traffic

Yihuai Zhang, Huan Yu

Control problems of mixed-autonomy traffic systems that consist of both human-driven vehicles (HV) and autonomous vehicles (AV), have gained increasing attention. This paper focuse…

math.OC2023★ 1 cited

Robust Boundary Stabilization of Stochastic Hyperbolic PDEs

Yihuai Zhang, Jean Auriol, Huan Yu

This paper proposes a backstepping boundary control design for robust stabilization of linear first-order coupled hyperbolic partial differential equations (PDEs) with Markov-jumpi…

cs.LG2023★ 5 cited

Neural Operators for Boundary Stabilization of Stop-and-go Traffic

Yihuai Zhang, Ruiguo Zhong, Huan Yu

This paper introduces a novel approach to PDE boundary control design using neural operators to alleviate stop-and-go instabilities in congested traffic flow. Our framework leverag…

math.AP2023

Mean-Square Exponential Stabilization of Mixed-Autonomy Traffic PDE System

Yihuai Zhang, Huan Yu, Jean Auriol +1

Control of mixed-autonomy traffic where Human-driven Vehicles (HVs) and Autonomous Vehicles (AVs) coexist on the road has gained increasing attention over the recent decades. This…