8 citations · 19 across the 9 of their papers we have counts for
9 papers
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data
Lei Xin, Baike She, Qi Dou +2
The identification of a linear system model from data has wide applications in control theory. The existing work that provides finite sample guarantees for linear system identifica…
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
Jianwen Li, Hyunsang Park, Wenjian Hao +10
In this paper, we discuss the development and deployment of a robust autonomous system capable of performing various tasks in the maritime domain under unknown dynamic conditions.…
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries
Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram
The problem of distributed optimization requires a group of networked agents to compute a parameter that minimizes the average of their local cost functions. While there are a vari…
Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees
Lei Xin, George Chiu, Shreyas Sundaram
The problem of online change point detection is to detect abrupt changes in properties of time series, ideally as soon as possible after those changes occur. Existing work on onlin…
Learning Linearized Models from Nonlinear Systems with Finite Data
Lei Xin, George Chiu, Shreyas Sundaram
Identifying a linear system model from data has wide applications in control theory. The existing work on finite sample analysis for linear system identification typically uses dat…
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We consider the problem of learning the dynamics of a linear system when one has access to data generated by an auxiliary system that shares similar (but not identical) dynamics, i…
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs
Lei Xin, George Chiu, Shreyas Sundaram
We study the problem of estimating an unknown parameter in a distributed and online manner. Existing work on distributed online learning typically either focuses on asymptotic anal…
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We study the problem of identifying the dynamics of a linear system when one has access to samples generated by a similar (but not identical) system, in addition to data from the t…
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories
Lei Xin, George Chiu, Shreyas Sundaram
We consider the problem of learning the dynamics of autonomous linear systems (i.e., systems that are not affected by external control inputs) from observations of multiple traject…