activity
20242026
collaborators

5 papers

eess.SY2026

Compressing Correct-by-Design Synthesis for Stochastic Homogeneous Multi-Agent Systems with Counting LTL

Xinyuan Qiu, Ruohan Wang, Siyuan Liu +1

Correct-by-design synthesis provides a principled framework for establishing formal safety guarantees for stochastic multi-agent systems (MAS). However, conventional approaches bas…

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…

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

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…

eess.SY2024

Specification-guided temporal logic control for stochastic systems: a multi-layered approach

Birgit C. van Huijgevoort, Ruohan Wang, Sadegh Soudjani +1

Designing controllers to satisfy temporal requirements has proven to be challenging for dynamical systems that are affected by uncertainty. This is mainly due to the states evolvin…