Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories
Author:
Affiliation:
1. Purdue University,Elmore Family School of Electrical and Computer Engineering
2. Purdue University,School of Mechanical Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867533.pdf?arnumber=9867533
Reference19 articles.
1. Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data
2. On the sample complexity of the linear quadratic regulator;dean;Foundations of Computational Mathematics,2019
3. Data-Driven Sparse System Identification
4. Finite sample system identification: Optimal rates and the role of regularization;sun;Learning for Dynamics and Control,2020
5. Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
2. Learning Linearized Models from Nonlinear Systems with Finite Data;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
3. Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories;2022 American Control Conference (ACC);2022-06-08
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