8 papers
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…
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…
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…
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…
Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We consider a class of continuous-time dynamic games involving a large number of players. Each player selects actions from a finite set and evolves through a finite set of states.…
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games -- Part II: Stability
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We study a dynamic game with a large population of players who choose actions from a finite set in continuous time. Each player has a state in a finite state space that evolves sto…