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20192026
most citedUncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations

8 citations · 30 across the 19 of their papers we have counts for

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18 papers · 1 filter

eess.SY2026

On the Nonexistence of Continuous Immersions for Discrete-time Systems

Eron Ristich, Eduardo Sontag, Necmiye Ozay

Understanding when linear immersions of nonlinear dynamical systems exist is important since such immersions allow us to leverage the rich tools of linear system theory to analyze…

eess.SY2026

On the Generalization Properties of Selective State-Space Models for Filtering Tasks for Unknown Systems

Alex Tang, M. Emrullah Ildiz, Batin Kurt +2

Selective State-Space Models (SSMs) such as Mamba have emerged as an alternative architecture to self-attention based transformers in sequence modeling tasks. Recent works have dem…

eess.SY2025

System Identification Under Bounded Noise: Optimal Rates Beyond Least Squares

Xiong Zeng, Jing Yu, Necmiye Ozay

System identification is a fundamental problem in control and learning, particularly in high-stakes applications where data efficiency is critical. Classical approaches, such as th…

eess.SY2024

A Simulation Preorder for Koopman-like Lifted Control Systems

Antoine Aspeel, Necmiye Ozay

This paper introduces a simulation preorder among lifted systems, a generalization of finite-dimensional Koopman approximations (also known as approximate immersions) to systems wi…

eess.SY2023

Properties of Immersions for Systems with Multiple Limit Sets with Implications to Learning Koopman Embeddings

Zexiang Liu, Necmiye Ozay, Eduardo D. Sontag

Linear immersions (such as Koopman eigenfunctions) of a nonlinear system have wide applications in prediction and control. In this work, we study the properties of linear immersion…

eess.SY2023

On the Hardness of Learning to Stabilize Linear Systems

Xiong Zeng, Zexiang Liu, Zhe Du +2

Inspired by the work of Tsiamis et al. \cite{tsiamis2022learning}, in this paper we study the statistical hardness of learning to stabilize linear time-invariant systems. Hardness…