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20232026
most citedNeural Operators for Adaptive Control of Freeway Traffic

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

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6 papers · 1 filter

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.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…

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…