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

collaborators

51 papers

cs.MA2026

Opinion-Guided Layered Strategies for Decentralized Coordination

Shuhao Qi, Zhiyong Sun, Siep Weiland +1

Autonomous agents increasingly interact with other independent agents, and such interactions typically admit multiple joint behaviors. When two agents prefer different ones, their…

cs.RO2026

Autonomous Driving with Priority-Ordered STL Specifications Under Multimodal Uncertainty

Taha Bouzid, Shuhao Qi, Mircea Lazar +1

Autonomous vehicles must plan trajectories that satisfy multiple requirements, such as safety, traffic-rule compliance, and passenger comfort. However, in safety-critical scenarios…

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…

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…

eess.SY2024

Avoiding Deadlocks Is Not Enough: Analysis and Resolution of Blocked Airplanes

Shuhao Qi, Zengjie Zhang, Zhiyong Sun +1

This paper is devoted to the analysis and resolution of a pathological phenomenon in airplane encounters called blocking mode. As autonomy in airplane systems increases, a patholog…

eess.SY2024★ 2 cited

Scalable control synthesis for stochastic systems via structural IMDP abstractions

Frederik Baymler Mathiesen, Sofie Haesaert, Luca Laurenti

This paper introduces a novel abstraction-based framework for controller synthesis of nonlinear discrete-time stochastic systems. The focus is on probabilistic reach-avoid specific…

eess.SY2024

Stochastic MPC for Finite Gaussian Mixture Disturbances with Guarantees

Maico H. W. Engelaar, Micha P. P. Swaanen, Mircea Lazar +1

This paper presents a stochastic model predictive control (SMPC) algorithm for linear systems subject to additive Gaussian mixture disturbances, with the goal of satisfying chance…

cs.RO2024

SymAware: A Software Development Framework for Trustworthy Multi-Agent Systems with Situational Awareness

Ernesto Casablanca, Zengjie Zhang, Gregorio Marchesini +3

Developing trustworthy multi-agent systems for practical applications is challenging due to the complicated communication of situational awareness (SA) among agents. This paper sho…

eess.SY2024★ 1 cited

Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications

Shuhao Qi, Zengjie Zhang, Zhiyong Sun +1

Human drivers naturally balance the risks of different concerns while driving, including traffic rule violations, minor accidents, and fatalities. However, achieving the same behav…

cs.RO2024

VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications

Teun van de Laar, Zengjie Zhang, Shuhao Qi +2

It has been an ambition of many to control a robot for a complex task using natural language (NL). The rise of large language models (LLMs) makes it closer to coming true. However,…

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…

eess.SY2024

Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion

Zengjie Zhang, Zhiyong Sun, Sofie Haesaert

This paper develops a correct-by-design controller for an autonomous vehicle interacting with opponent vehicles with unknown intentions. We define an intention-aware control proble…

eess.SY2024

Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications

Maico H. W. Engelaar, Zengjie Zhang, Eleftherios E. Vlahakis +3

This paper addresses the control synthesis of heterogeneous stochastic linear multi-agent systems with real-time allocation of signal temporal logic (STL) specifications. Based on…

cs.RO2024★ 1 cited

Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside''

Cosimo Della Santina, Carlos Hernandez Corbato, Burak Sisman +28

Consciousness has been historically a heavily debated topic in engineering, science, and philosophy. On the contrary, awareness had less success in raising the interest of scholars…

eess.SY2024

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics

Maico H. W. Engelaar, Zengjie Zhang, Mircea Lazar +1

This paper concerns the risk-aware control of stochastic systems with temporal logic specifications dynamically assigned during runtime. Conventional risk-aware control typically a…

eess.SY2023

A Linear Parameter-Varying Approach to Data Predictive Control

Chris Verhoek, Julian Berberich, Sofie Haesaert +2

By means of the linear parameter-varying (LPV) Fundamental Lemma, we derive novel data-driven predictive control (DPC) methods for LPV systems. In particular, we present output-fee…

cs.RO2023

Energy-Constrained Active Exploration Under Incremental-Resolution Symbolic Perception

Disha Kamale, Sofie Haesaert, Cristian-Ioan Vasile

In this work, we consider the problem of autonomous exploration in search of targets while respecting a fixed energy budget. The robot is equipped with an incremental-resolution sy…

eess.SY2023★ 1 cited

Verifying the Unknown: Correct-by-Design Control Synthesis for Networks of Stochastic Uncertain Systems

Oliver Schön, Birgit van Huijgevoort, Sofie Haesaert +1

In this paper, we present an approach for designing correct-by-design controllers for cyber-physical systems composed of multiple dynamically interconnected uncertain systems. We c…