Frequency Response Identification of Low-Order Systems: Finite-Sample Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Honarpisheh, Arya, Sznaier, Mario |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Finite Sample Frequency Domain Identification
by: Tsiamis, Anastasios, et al.
Published: (2024)
by: Tsiamis, Anastasios, et al.
Published: (2024)
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
by: Honarpisheh, Arya, et al.
Published: (2025)
by: Honarpisheh, Arya, et al.
Published: (2025)
Safe Control for Pursuit-Evasion with Density Functions
by: Bozdag, Mustafa, et al.
Published: (2025)
by: Bozdag, Mustafa, et al.
Published: (2025)
Randomized Atomic Feature Models for Physics-Informed Identification of Dynamic Systems
by: Singh, Rajiv, et al.
Published: (2026)
by: Singh, Rajiv, et al.
Published: (2026)
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)
by: Sattar, Yahya, et al.
Published: (2025)
Sample Complexity Bounds for Linear System Identification from a Finite Set
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
by: Rui, Maryann, et al.
Published: (2024)
by: Rui, Maryann, et al.
Published: (2024)
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
Finite Sample and Large Deviations Analysis of Stochastic Gradient Algorithm with Correlated Noise
by: Yin, George, et al.
Published: (2024)
by: Yin, George, 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)
Achieving $\widetilde{O}(1/ε)$ Sample Complexity for Bilinear Systems Identification under Bounded Noises
by: Yi, Hongyu, et al.
Published: (2026)
by: Yi, Hongyu, et al.
Published: (2026)
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics
by: Prajapat, Manish, et al.
Published: (2025)
by: Prajapat, Manish, et al.
Published: (2025)
Federated Nonlinear System Identification
by: Tupe, Omkar, et al.
Published: (2025)
by: Tupe, Omkar, et al.
Published: (2025)
System Identification for Continuous-time Linear Dynamical Systems
by: Halmos, Peter, et al.
Published: (2023)
by: Halmos, Peter, et al.
Published: (2023)
Finite-Time Analysis of Simultaneous Double Q-learning
by: Na, Hyunjun, et al.
Published: (2024)
by: Na, Hyunjun, et al.
Published: (2024)
Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation
by: Xu, Wangkun, et al.
Published: (2024)
by: Xu, Wangkun, et al.
Published: (2024)
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
The Stochastic Occupation Kernel Method for System Identification
by: Wells, Michael, et al.
Published: (2024)
by: Wells, Michael, et al.
Published: (2024)
Deep Learning of Dynamic Systems using System Identification Toolbox(TM)
by: Dai, Tianyu, et al.
Published: (2024)
by: Dai, Tianyu, et al.
Published: (2024)
Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)
by: Chakrabarty, Ankush, et al.
Published: (2025)
Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026)
by: Ito, Kaito, et al.
Published: (2026)
Structural System Identification via Validation and Adaptation
by: López, Cristian, et al.
Published: (2025)
by: López, Cristian, et al.
Published: (2025)
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, et al.
Published: (2024)
Dictionary-Learning-Based Data Pruning for System Identification
by: Wang, Tingna, et al.
Published: (2025)
by: Wang, Tingna, et al.
Published: (2025)
A Tutorial on the Non-Asymptotic Theory of System Identification
by: Ziemann, Ingvar, et al.
Published: (2023)
by: Ziemann, Ingvar, et al.
Published: (2023)
Baseline Results for Selected Nonlinear System Identification Benchmarks
by: Champneys, Max D., et al.
Published: (2024)
by: Champneys, Max D., et al.
Published: (2024)
Active Learning for Control-Oriented Identification of Nonlinear Systems
by: Lee, Bruce D., et al.
Published: (2024)
by: Lee, Bruce D., et al.
Published: (2024)
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
by: Mitra, Aritra
Published: (2024)
by: Mitra, Aritra
Published: (2024)
CLT-Optimal Parameter Error Bounds for Linear System Identification
by: Zhou, Yichen, et al.
Published: (2026)
by: Zhou, Yichen, et al.
Published: (2026)
Finite Sample Analysis of Subspace Identification for Stochastic Systems
by: Sun, Shuai, et al.
Published: (2025)
by: Sun, Shuai, et al.
Published: (2025)
Finite Sample Performance Analysis of MIMO Systems Identification
by: Sun, Shuai, et al.
Published: (2023)
by: Sun, Shuai, et al.
Published: (2023)
Analysis and Control of Input-Affine Dynamical Systems using Infinite-Dimensional Robust Counterparts
by: Miller, Jared, et al.
Published: (2021)
by: Miller, Jared, et al.
Published: (2021)
Finite-Time Analysis of Q-Value Iteration for General-Sum Stackelberg Games
by: Jeong, Narim, et al.
Published: (2026)
by: Jeong, Narim, et al.
Published: (2026)
Real-time Hybrid System Identification with Online Deterministic Annealing
by: Mavridis, Christos, et al.
Published: (2024)
by: Mavridis, Christos, et al.
Published: (2024)
A Semi-Supervised Approach for Power System Event Identification
by: Taghipourbazargani, Nima, et al.
Published: (2023)
by: Taghipourbazargani, Nima, et al.
Published: (2023)
Outlier-Robust Linear System Identification Under Heavy-tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2024)
by: Kanakeri, Vinay, et al.
Published: (2024)
Machine Learning and System Identification for Estimation in Physical Systems
by: Carlson, Fredrik Bagge
Published: (2019)
by: Carlson, Fredrik Bagge
Published: (2019)
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)
Canonical Bayesian Linear System Identification
by: Bryutkin, Andrey, et al.
Published: (2025)
by: Bryutkin, Andrey, et al.
Published: (2025)
State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)
Similar Items
-
Finite Sample Frequency Domain Identification
by: Tsiamis, Anastasios, et al.
Published: (2024) -
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
by: Honarpisheh, Arya, et al.
Published: (2025) -
Safe Control for Pursuit-Evasion with Density Functions
by: Bozdag, Mustafa, et al.
Published: (2025) -
Randomized Atomic Feature Models for Physics-Informed Identification of Dynamic Systems
by: Singh, Rajiv, et al.
Published: (2026) -
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)