activity
20242026
collaborators

5 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…

eess.SY2026

A Unified Family-optimal Solution to Covariance Intersection Problems with Semidefinite Programming

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

Covariance intersection (CI) methods provide a principled approach to fusing estimates with unknown cross-correlations by minimizing a worst-case measure of uncertainty that is con…

eess.SY2026

Overlapping Covariance Intersection: Fusion with Partial Structural Knowledge of Correlation from Multiple Sources

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

Emerging large-scale engineering systems rely on distributed fusion for situational awareness, where agents combine noisy local sensor measurements with exchanged information to ob…

eess.SY2025

Distributed Design of Ultra Large-Scale Control Systems: Progress, Challenges, and Prospects

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

The transition from large centralized complex control systems to distributed configurations that rely on a network of a very large number of interconnected simpler subsystems is on…

eess.SY2024

Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road Networks

Leonardo Pedroso, Pedro Batista, Markos Papageorgiou

To cope with uncertain traffic patterns and traffic models, traffic-responsive signal control strategies in the literature are designed to be robust to these uncertainties. These r…