9 papers
Distributed Traffic State Estimation in Connected Vehicle and Roadside Infrastructure Networks
Vincent de Heij, M. Umar B. Niazi, Saeed Ahmed +1
This paper proposes a distributed traffic state estimation framework that combines infrastructure sensors and connected vehicles as cooperative sensing nodes. Using Vehicle-to-Ever…
Data-Driven Nonconvex Reachability Analysis using Exact Set Propagation
Zhen Zhang, M. Umar B. Niazi, Michelle S. Chong +2
This paper studies deterministic data-driven reachability analysis for dynamical systems with unknown dynamics and nonconvex reachable sets. Existing deterministic data-driven appr…
Communication-Efficient Distributed Learning with Differential Privacy
Xiaoxing Ren, Yuwen Ma, Nicola Bastianello +3
We address nonconvex learning problems over undirected networks. In particular, we focus on the challenge of designing an algorithm that is both communication-efficient and that gu…
HyperKKL: Learning KKL Observers for Non-Autonomous Nonlinear Systems via Hypernetwork-Based Input Conditioning
Yahia Salaheldin Shaaban, Abdelrahman Sayed Sayed, M. Umar B. Niazi +1
Kazantzis-Kravaris/Luenberger (KKL) observers are a class of state observers for nonlinear systems that rely on an injective map to transform the nonlinear dynamics into a stable q…
Data-Driven Nonconvex Reachability Analysis using Exact Multiplication
Zhen Zhang, M. Umar B. Niazi, Michelle S. Chong +2
This paper addresses a fundamental challenge in data-driven reachability analysis: accurately representing and propagating non-convex reachable sets. We propose a novel approach us…
Distributed Traffic State Estimation in V2X-Enabled Connected Vehicle Networks
Vincent de Heij, M. Umar B. Niazi, Saeed Ahmed +1
This paper presents a distributed traffic state estimation framework in which infrastructure sensors and connected vehicles act as autonomous, cooperative sensing nodes. These node…