CLT-Optimal Parameter Error Bounds for Linear System Identification
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Yichen, Tu, Stephen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026)
by: Ito, Kaito, et al.
Published: (2026)
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2024)
by: Siriya, Seth, et al.
Published: (2024)
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
by: Sattar, Yahya, et al.
Published: (2021)
by: Sattar, Yahya, et al.
Published: (2021)
Outlier-Robust Linear System Identification Under Heavy-tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2024)
by: Kanakeri, Vinay, et al.
Published: (2024)
Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
Integration Matters for Learning PDEs with Backward SDEs
by: Park, Sungje, et al.
Published: (2025)
by: Park, Sungje, et al.
Published: (2025)
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement
by: Enami, Shoju, et al.
Published: (2026)
by: Enami, Shoju, et al.
Published: (2026)
Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)
by: Ahmadi, Amir Ali, et al.
Published: (2023)
Certified Approximate Reachability (CARe): Formal Error Bounds on Deep Learning of Reachable Sets
by: Solanki, Prashant, et al.
Published: (2025)
by: Solanki, Prashant, et al.
Published: (2025)
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
by: Zhou, Quan, et al.
Published: (2020)
by: Zhou, Quan, et al.
Published: (2020)
Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations
by: Liu, Jun
Published: (2026)
by: Liu, Jun
Published: (2026)
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
by: Haque, Shaan Ul, et al.
Published: (2023)
by: Haque, Shaan Ul, et al.
Published: (2023)
Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)
by: Wang, Shengbo, et al.
Published: (2025)
$O(1/k)$ Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation
by: Chandak, Siddharth
Published: (2025)
by: Chandak, Siddharth
Published: (2025)
Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)
by: Chakrabarty, Ankush, et al.
Published: (2025)
Online Control of Linear Systems under Unbounded Noise
by: Ito, Kaito, et al.
Published: (2024)
by: Ito, Kaito, et al.
Published: (2024)
A New Approach to Controlling Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)
by: Brahmbhatt, Anand, et al.
Published: (2025)
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)
by: Sattar, Yahya, et al.
Published: (2025)
Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023)
by: Liu, Zishun, et al.
Published: (2023)
Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
by: Vanelli, Martina, et al.
Published: (2025)
by: Vanelli, Martina, et al.
Published: (2025)
Symmetric Linear Dynamical Systems are Learnable from Few Observations
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
Efficient Spectral Control of Partially Observed Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)
by: Brahmbhatt, Anand, et al.
Published: (2025)
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
by: Vertovec, Nikolaus, et al.
Published: (2025)
by: Vertovec, Nikolaus, et al.
Published: (2025)
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2025)
by: Kanakeri, Vinay, et al.
Published: (2025)
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)
by: Luo, Yujia, et al.
Published: (2026)
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023)
by: Lefringhausen, Robert, et al.
Published: (2023)
Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
by: Cao, Daniel, et al.
Published: (2026)
by: Cao, Daniel, et al.
Published: (2026)
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
by: Mohammadi, Hesameddin, et al.
Published: (2024)
by: Mohammadi, Hesameddin, et al.
Published: (2024)
Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)
by: Carnevale, Guido, et al.
Published: (2025)
Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
by: Hashizume, Yota, et al.
Published: (2024)
by: Hashizume, Yota, et al.
Published: (2024)
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
by: Skifstad, Julian, et al.
Published: (2026)
by: Skifstad, Julian, et al.
Published: (2026)
Finite Sample Frequency Domain Identification
by: Tsiamis, Anastasios, et al.
Published: (2024)
by: Tsiamis, Anastasios, et al.
Published: (2024)
Improved Scalable Lipschitz Bounds for Deep Neural Networks
by: Syed, Usman, et al.
Published: (2025)
by: Syed, Usman, et al.
Published: (2025)
Learning to Sparsify Stochastic Linear Bandits
by: Wang, Zhengmiao, et al.
Published: (2026)
by: Wang, Zhengmiao, et al.
Published: (2026)
Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons
by: Bhan, Luke, et al.
Published: (2026)
by: Bhan, Luke, et al.
Published: (2026)
Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
by: Esmaeili, Babak, et al.
Published: (2025)
by: Esmaeili, Babak, et al.
Published: (2025)
Learning Linear Dynamics from Bilinear Observations
by: Sattar, Yahya, et al.
Published: (2024)
by: Sattar, Yahya, et al.
Published: (2024)
Predictive Linear Online Tracking for Unknown Targets
by: Tsiamis, Anastasios, et al.
Published: (2024)
by: Tsiamis, Anastasios, et al.
Published: (2024)
Similar Items
-
Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026) -
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2024) -
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
by: Sattar, Yahya, et al.
Published: (2021) -
Outlier-Robust Linear System Identification Under Heavy-tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2024) -
Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)