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…
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…
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
Aneesh Raghavan, M. Umar B. Niazi, Karl H. Johansson
This paper concerns sequential hypothesis testing in competitive multi-agent systems where agents exchange potentially manipulated information. Specifically, a two-agent scenario i…
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 Prescribed-Time Observer for Nonlinear Systems in Block-Triangular Form
Vincent de Heij, M. Umar B. Niazi, Karl H. Johansson +1
This paper proposes a distributed prescribed-time observer for nonlinear systems representable in a block-triangular observable canonical form. Using a weighted average of neighbor…
KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning
M. Umar B. Niazi, John Cao, Matthieu Barreau +1
This paper proposes a novel learning approach for designing Kazantzis-Kravaris or nonlinear Luenberger (KKL) observers for autonomous nonlinear systems. The design of a KKL observe…