Sofie Haesaert

Orcid: 0000-0003-4749-4688

According to our database1, Sofie Haesaert authored at least 65 papers between 2013 and 2024.

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Bibliography

2024
Resilient Containment Under Time-Varying Networks With Relaxed Graph Robustness.
IEEE Trans. Netw. Sci. Eng., 2024

SymAware: A Software Development Framework for Trustworthy Multi-Agent Systems with Situational Awareness.
CoRR, 2024

Risk-Aware Autonomous Driving for Linear Temporal Logic Specifications.
CoRR, 2024

VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications.
CoRR, 2024

Specification-guided temporal logic control for stochastic systems: a multi-layered approach.
CoRR, 2024

Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion.
CoRR, 2024

Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications.
CoRR, 2024

Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside".
CoRR, 2024

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics.
CoRR, 2024

2023
Convex incremental dissipativity analysis of nonlinear systems.
Autom., April, 2023

Temporal Logic Control of Nonlinear Stochastic Systems Using a Piecewise-Affine Abstraction.
IEEE Control. Syst. Lett., 2023

A Linear Parameter-Varying Approach to Data Predictive Control.
CoRR, 2023

Bayesian Approach to Temporal Logic Control of Uncertain Systems.
CoRR, 2023

Model Reduction of Linear Stochastic Systems with Preservation of sc-LTL Specifications.
CoRR, 2023

Direct data-driven signal temporal logic control of linear systems.
CoRR, 2023

Data-driven Dissipativity Analysis of Linear Parameter-Varying Systems.
CoRR, 2023

Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Stochastic Model Predictive Control with Dynamic Chance Constraints.
Proceedings of the 27th International Conference on System Theory, Control and Computing, 2023

Cautious Planning with Incremental Symbolic Perception: Designing Verified Reactive Driving Maneuvers.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Poster Abstract: Data-Driven Correct-by-Design Control of Parametric Stochastic Systems✱.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

SySCoRe: Synthesis via Stochastic Coupling Relations.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

Modularized Control Synthesis for Complex Signal Temporal Logic Specifications.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Direct Data-Driven State-Feedback Control of General Nonlinear Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Verifying the Unknown: Correct-by-Design Control Synthesis for Networks of Stochastic Uncertain Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Automated Formation Control Synthesis from Temporal Logic Specifications.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Energy-Constrained Active Exploration Under Incremental-Resolution Symbolic Perception.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Abstracting Linear Stochastic Systems via Knowledge Filtering.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

ARCH-COMP23 Category Report: Stochastic Models.
Proceedings of 10th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH23), 2023

2022
Similarity quantification for linear stochastic systems: A coupling compensator approach.
Autom., 2022

Deep-Learning-Based Identification of LPV Models for Nonlinear Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Correct-by-Design Control of Parametric Stochastic Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

ARCH-COMP22 Category Report: Stochastic Models.
Proceedings of 9th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH22), 2022

2021
Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems.
IEEE Trans. Autom. Control., 2021

Formal Control Synthesis via Simulation Relations and Behavioral Theory for Discrete-Time Descriptor Systems.
IEEE Trans. Autom. Control., 2021

Formal Multi-Objective Synthesis of Continuous-State MDPs.
IEEE Control. Syst. Lett., 2021

Data-Driven Predictive Control for Linear Parameter-Varying Systems.
CoRR, 2021

Multi-layered simulation relations for linear stochastic systems.
Proceedings of the 2021 European Control Conference, 2021

Fundamental Lemma for Data-Driven Analysis of Linear Parameter-Varying Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

ARCH-COMP21 Category Report: Stochastic Models.
Proceedings of the 8th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH21), 2021

2020
Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration.
IEEE Robotics Autom. Lett., 2020

Similarity quantification for linear stochastic systems as a set-theoretic control problem.
CoRR, 2020

2019
Achievements in correct-by-design control for stochastic systems.
Proceedings of the Fifth International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT, 2019

ARCH-COMP19 Category Report: Stochastic Modelling.
Proceedings of the ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systemsi, 2019

Temporal logic planning in uncertain environments with probabilistic roadmaps and belief spaces.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A separation theorem for guaranteed H2 performance through matrix inequalities.
Autom., 2018

Toward Specification-Guided Active Mars Exploration for Cooperative Robot Teams.
Proceedings of the Robotics: Science and Systems XIV, 2018

Temporal logic control of general Markov decision processes by approximate policy refinement.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

Temporal Logic Control of POMDPs via Label-based Stochastic Simulation Relations.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

ARCH-COMP18 Category Report: Stochastic Modelling.
Proceedings of the ARCH18. 5th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2018

2017
Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement.
SIAM J. Control. Optim., 2017

Certified policy synthesis for general Markov decision processes: An application in building automation systems.
Perform. Evaluation, 2017

Control refinement for discrete-time descriptor systems: a behavioural approach via simulation relations.
CoRR, 2017

Data-driven and model-based verification via Bayesian identification and reachability analysis.
Autom., 2017

Automated Experiment Design for Data-Efficient Verification of Parametric Markov Decision Processes.
Proceedings of the Quantitative Evaluation of Systems - 14th International Conference, 2017

2016
Data-Efficient Bayesian Verification of Parametric Markov Chains.
Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016

Verification of General Markov Decision Processes by Approximate Similarity Relations and Policy Refinement.
Proceedings of the Quantitative Evaluation of Systems - 13th International Conference, 2016

Experiment design for formal verification via stochastic optimal control.
Proceedings of the 15th European Control Conference, 2016

2015
Observer-based correct-by-design controller synthesis.
CoRR, 2015

Data-driven and model-based verification: A Bayesian identification approach.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Correct-by-design output feedback of LTI systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Data-driven property verification of grey-box systems by Bayesian experiment design.
Proceedings of the American Control Conference, 2015

2014
Sampling-based Approximations with Quantitative Performance for the Probabilistic Reach-Avoid Problem over General Markov Processes.
CoRR, 2014

Multi-agent discrete-time graphical games and reinforcement learning solutions.
Autom., 2014

Approximate and Reinforcement Learning techniques to solve non-convex Economic Dispatch problems.
Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014

2013
Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution.
Proceedings of the American Control Conference, 2013


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