activity
20232026
most citedNeural Operators for Adaptive Control of Freeway Traffic

7 citations · 13 across the 11 of their papers we have counts for

collaborators

11 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…

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…