Response time central-limit and failure rate estimation for stationary periodic rate monotonic real-time systems
Fuente:
arXiv
Saved in:
| Main Authors: | Zagalo, Kevin, Bar-Hen, Avner |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Debiasing Continuous-time Nonlinear Autoregressions
by: Kuang, Simon, et al.
Published: (2025)
by: Kuang, Simon, et al.
Published: (2025)
Distributed adaptive estimation for stochastic large regression models
by: Gan, Die, et al.
Published: (2026)
by: Gan, Die, et al.
Published: (2026)
The optimizing mode classification stabilization of sampled stochastic jump systems via an improved hill-climbing algorithm based on Q-learning
by: Wang, Guoliang
Published: (2024)
by: Wang, Guoliang
Published: (2024)
Learning linear dynamical systems under convex constraints
by: Tyagi, Hemant, et al.
Published: (2023)
by: Tyagi, Hemant, et al.
Published: (2023)
Non-Asymptotic Analysis of Classical Spectrum Estimators for $L$-mixing Time-series Data with Unknown Means
by: Zheng, Yuping, et al.
Published: (2025)
by: Zheng, Yuping, et al.
Published: (2025)
Generation and Balancing Capacity in Future Electric Power Systems -- Scenario Analysis Using Bayesian Networks
by: Borenius, Seppo, et al.
Published: (2025)
by: Borenius, Seppo, et al.
Published: (2025)
Standard LSParameter Estimators Ensure Finite Convergence Time for Linear Regression Equations Under an Interval Excitation Assumption
by: Ortega, Romeo, et al.
Published: (2025)
by: Ortega, Romeo, et al.
Published: (2025)
Uncertainty Propagation and Bayesian Fusion on Unimodular Lie Groups from a Parametric Perspective
by: Ye, Jikai, et al.
Published: (2024)
by: Ye, Jikai, et al.
Published: (2024)
Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube
by: Liu, Zishun, et al.
Published: (2025)
by: Liu, Zishun, et al.
Published: (2025)
Excess Mean Squared Error of Empirical Bayes Estimators
by: Ju, Yue, et al.
Published: (2025)
by: Ju, Yue, et al.
Published: (2025)
On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
by: Lakshminarayanan, Braghadeesh, et al.
Published: (2025)
by: Lakshminarayanan, Braghadeesh, et al.
Published: (2025)
Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation
by: Glushchenko, Anton, et al.
Published: (2023)
by: Glushchenko, Anton, et al.
Published: (2023)
Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein Distance Minimization
by: Prabhat, Himanshu, et al.
Published: (2024)
by: Prabhat, Himanshu, et al.
Published: (2024)
Multi-Scale Conformal Prediction: A Theoretical Framework with Coverage Guarantees
by: Baheri, Ali, et al.
Published: (2025)
by: Baheri, Ali, et al.
Published: (2025)
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion
by: Li, Tiancheng, et al.
Published: (2019)
by: Li, Tiancheng, et al.
Published: (2019)
Covert Bayesian Quickest Change Detection
by: Lo, Yun-Feng, et al.
Published: (2026)
by: Lo, Yun-Feng, et al.
Published: (2026)
Hidden Markov Models and the Bayes Filter in Categorical Probability
by: Fritz, Tobias, et al.
Published: (2024)
by: Fritz, Tobias, et al.
Published: (2024)
Unscented Trajectory Optimization
by: Ross, I. M., et al.
Published: (2024)
by: Ross, I. M., et al.
Published: (2024)
Fundamental limitations of monotonic tracking systems
by: Taghavian, Hamed
Published: (2025)
by: Taghavian, Hamed
Published: (2025)
Kernel Mean Embedding Topology: Weak and Strong Forms for Stochastic Kernels and Implications for Model Learning
by: Saldi, Naci, et al.
Published: (2025)
by: Saldi, Naci, et al.
Published: (2025)
Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization
by: Echigo, Kazuya, et al.
Published: (2024)
by: Echigo, Kazuya, et al.
Published: (2024)
Joint Learning of Linear Dynamical Systems under Smoothness Constraints
by: Tyagi, Hemant
Published: (2024)
by: Tyagi, Hemant
Published: (2024)
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
by: Lamperski, Andrew, et al.
Published: (2024)
by: Lamperski, Andrew, et al.
Published: (2024)
Long-Context Linear System Identification
by: Yüksel, Oğuz Kaan, et al.
Published: (2024)
by: Yüksel, Oğuz Kaan, 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)
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
by: Stamouli, Charis, et al.
Published: (2024)
by: Stamouli, Charis, et al.
Published: (2024)
Saturation of the Multiparameter Quantum Cramér-Rao Bound at the Single-Copy Level with Projective Measurements
by: Nurdin, Hendra I.
Published: (2024)
by: Nurdin, Hendra I.
Published: (2024)
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)
by: Carè, Algo, et al.
Published: (2024)
by: Carè, Algo, et al.
Published: (2024)
Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak Localization
by: Romero-Ben, Luis, et al.
Published: (2024)
by: Romero-Ben, Luis, et al.
Published: (2024)
Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
by: Szentpéteri, Szabolcs, et al.
Published: (2024)
Sequential Change Detection for Learning in Piecewise Stationary Bandit Environments
by: Huang, Yu-Han, et al.
Published: (2025)
by: Huang, Yu-Han, et al.
Published: (2025)
Ensemble Kalman Filters with Resampling
by: Ghattas, Omar Al, et al.
Published: (2023)
by: Ghattas, Omar Al, et al.
Published: (2023)
RandALO: Out-of-sample risk estimation in no time flat
by: Nobel, Parth, et al.
Published: (2024)
by: Nobel, Parth, et al.
Published: (2024)
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning
by: Li, Gen, et al.
Published: (2022)
by: Li, Gen, et al.
Published: (2022)
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
by: Li, Gen, et al.
Published: (2023)
by: Li, Gen, et al.
Published: (2023)
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
by: Farokhi, Farhad
Published: (2023)
by: Farokhi, Farhad
Published: (2023)
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
by: Teter, Alexis M. H., et al.
Published: (2025)
by: Teter, Alexis M. H., et al.
Published: (2025)
Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)
by: Mintsa, Eddy Michel Ella
Published: (2025)
On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference
by: Ding, Xiucai, et al.
Published: (2024)
by: Ding, Xiucai, et al.
Published: (2024)
Similar Items
-
Debiasing Continuous-time Nonlinear Autoregressions
by: Kuang, Simon, et al.
Published: (2025) -
Distributed adaptive estimation for stochastic large regression models
by: Gan, Die, et al.
Published: (2026) -
The optimizing mode classification stabilization of sampled stochastic jump systems via an improved hill-climbing algorithm based on Q-learning
by: Wang, Guoliang
Published: (2024) -
Learning linear dynamical systems under convex constraints
by: Tyagi, Hemant, et al.
Published: (2023) -
Non-Asymptotic Analysis of Classical Spectrum Estimators for $L$-mixing Time-series Data with Unknown Means
by: Zheng, Yuping, et al.
Published: (2025)