collaborators

9 papers

eess.SY2026

Consistent Distributed Cooperative Localization for Ultra Large-Scale Multi-agent Systems

Leonardo Pedroso, W. P. M. H. Heemels, Pedro Batista

Cooperative localization (CL) is fundamental in emerging multi-agent systems, where agents fuse local sensing data with exchanged information to estimate their own states. At a lar…

math.OC2026

Scaled Graph Bounding Techniques for Reset Systems

Timo de Groot, Maurice Heemels, Tom Oomen +1

Reset systems can overcome fundamental limitations of linear time-invariant control. The recently introduced notion of scaled (relative) graphs provides a promising framework for d…

math.OC2026

The Separation Principle and the Dual-Certainty Equivalence Gap in Model Predictive Control

Tren Baltussen, Nathan P. Lawrence, Alexander Katriniok +2

Dual control addresses the trade-off between exploitation and exploration, where control inputs both regulate the system and generate informative data for estimation and identifica…

cs.GT2026

Token Economy for Fair and Efficient Dynamic Resource Allocation in Congestion Games

Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1

Self-interested behavior in sharing economies often leads to inefficient aggregate outcomes compared to a centrally coordinated allocation, ultimately harming users. Yet, centraliz…

eess.SY2026

Predictable Interval MDPs through Entropy Regularization

Menno van Zutphen, Giannis Delimpaltadakis, Maurice Heemels +1

Regularization of control policies using entropy can be instrumental in adjusting predictability of real-world systems. Applications benefiting from such approaches range from, e.g…

math.OC2025

Dual MPC for Active Learning of Nonparametric Uncertainties

Tren Baltussen, Maurice Heemels, Alexander Katriniok

This manuscript presents a dual model predictive controller (MPC) that balances the two objectives of dual control, namely, system identification and control. In particular, we pro…