activity
20142026
most citedData-Driven Predictive Control for Linear Parameter-Varying Systems

50 citations · 249 across the 50 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.RO2025

Situation-Aware Interactive MPC Switching for Autonomous Driving

Shuhao Qi, Qiling Aori, Luyao Zhang +2

Autonomous driving in interactive traffic scenarios remains challenging because of the mutual influence among vehicles and the inherent uncertainty of surrounding agents. Several m…

eess.SY2025

Correct-by-Design Control Synthesis of Stochastic Multi-agent Systems: a Robust Tensor-based Solution

Ruohan Wang, Siyuan Liu, Zhiyong Sun +1

Discrete-time stochastic systems with continuous spaces are hard to verify and control, even with MDP abstractions due to the curse of dimensionality. We propose an abstraction-bas…

eess.SY2025

Integrating Opinion Dynamics into Safety Control for Decentralized Airplane Encounter Resolution

Shuhao Qi, Zhiqi Tang, Zhiyong Sun +1

As the airspace becomes increasingly congested, decentralized conflict resolution methods for airplane encounters have become essential. While decentralized safety controllers can…

cs.RO2025

A Vehicle-in-the-Loop Simulator with AI-Powered Digital Twins for Testing Automated Driving Controllers

Zengjie Zhang, Giannis Badakis, Michalis Galanis +4

Simulators are useful tools for testing automated driving controllers. Vehicle-in-the-loop (ViL) tests and digital twins (DTs) are widely used simulation technologies to facilitate…

cs.LO2025

ARCH-COMP25 Category Report: Stochastic Models

Alessandro Abate, Omid Akbarzadeh, Henk A. P. Blom +14

This report is concerned with a friendly competition for formal verification and policy synthesis of stochastic models. The main goal of the report is to introduce new benchmarks a…

eess.SY2025

Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)

Oliver Schön, Sofie Haesaert, Sadegh Soudjani

The requirement for identifying accurate system representations has not only been a challenge to fulfill, but it has compromised the scalability of formal methods, as the resulting…

eess.SY2025

Unraveling tensor structures in correct-by-design controller synthesis

Ruohan Wang, Zhiyong Sun, Sofie Haesaert

Formal safety guarantees on the synthesis of controllers for stochastic systems can be obtained using correct-by-design approaches. These approaches often use abstractions as finit…