17 papers
Reachability Analysis With Probabilistic Zonotopes: Learning Realized Disturbances and Refining Aleatory Uncertainty
Amir Modares, Zhen Zhang, Themistoklis Charalambous +2
This paper develops a data-driven reachability framework for linear systems whose disturbances are modeled by probabilistic zonotopes (PZs), combining bounded deterministic and Gau…
Toward Goal-Oriented Communication in Multi-Agent Systems: An overview
Themistoklis Charalambous, Nikolaos Pappas, Nikolaos Nomikos +1
As multi-agent systems (MAS) become increasingly prevalent in autonomous systems, distributed control, and edge intelligence, efficient communication under resource constraints has…
Model Predictive Communication for Timely Status Updates in Low-Altitude Networks
Bowen Li, Jiping Luo, Themistoklis Charalambous +1
Timely information delivery in low-altitude networks is critical for many time-sensitive applications, such as unmanned aerial vehicle (UAV) navigation, inspection, and surveillanc…
Cooperative Bandit Learning in Directed Networks with Arm-Access Constraints
Evagoras Makridis, Themistoklis Charalambous
Sequential decision-making under uncertainty often involves multiple agents learning which actions (arms) yield the highest rewards through repeated interaction with a stochastic e…
Pareto-Optimal Sampling and Resource Allocation for Timely Communication in Shared-Spectrum Low-Altitude Networks
Bowen Li, Jiping Luo, Themistoklis Charalambous +1
Guaranteeing stringent data freshness for low-altitude unmanned aerial vehicles (UAVs) in shared spectrum forces a critical trade-off between two operational costs: the UAV's own e…
Max-Consensus with Deterministic Convergence in Directed Graphs with Unreliable Communication Links
Apostolos I. Rikos, Jiaqi Hu, Themistoklis Charalambous +1
We present DMaC, a novel distributed, finite-time algorithm that guarantees max-consensus in directed networks with unreliable communication links experiencing packet drops. Unlike…