Interpretable Gradient Descent for Kalman Gain
Fuente:
arXiv
Saved in:
| Main Authors: | Belabbas, M. A., Olshevsky, A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Natural Gradient Descent for Control
by: Esmzad, Ramin, et al.
Published: (2025)
by: Esmzad, Ramin, et al.
Published: (2025)
On Convergence of the Iteratively Preconditioned Gradient-Descent (IPG) Observer
by: Chakrabarti, Kushal, et al.
Published: (2024)
by: Chakrabarti, Kushal, et al.
Published: (2024)
Trajectory-Oriented Control Using Gradient Descent: An Unconventional Approach
by: Esmzad, Ramin, et al.
Published: (2024)
by: Esmzad, Ramin, et al.
Published: (2024)
Model Predictive Path Integral Control as Preconditioned Gradient Descent
by: Fazlyab, Mahyar, et al.
Published: (2026)
by: Fazlyab, Mahyar, et al.
Published: (2026)
IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)
by: Mlinarić, Petar, et al.
Published: (2023)
Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable
by: Cui, Leilei, et al.
Published: (2025)
by: Cui, Leilei, et al.
Published: (2025)
Input-to-State Stability of a Bilevel Proximal Gradient Descent Algorithm
by: Kolmanovsky, Torbjørn Cunis Ilya
Published: (2022)
by: Kolmanovsky, Torbjørn Cunis Ilya
Published: (2022)
Anytime Acceleration of Gradient Descent
by: Zhang, Zihan, et al.
Published: (2024)
by: Zhang, Zihan, et al.
Published: (2024)
Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints
by: Padmanabhan, Ram, et al.
Published: (2022)
by: Padmanabhan, Ram, et al.
Published: (2022)
Constructing Stochastic Matrices for Weighted Averaging in Gossip Networks
by: Bayram, Erkan, et al.
Published: (2025)
by: Bayram, Erkan, et al.
Published: (2025)
Input-Output Stability of Gradient Descent: A Discrete-Time Passivity-Based Approach
by: Moalemi, Sepehr, et al.
Published: (2024)
by: Moalemi, Sepehr, et al.
Published: (2024)
Sample Complexity of Linear Quadratic Regulator Without Initial Stability
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2025)
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2025)
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)
On the Perturbed Projection-Based Distributed Gradient-Descent Algorithm: A Fully-Distributed Adaptive Redesign
by: Bazizi, Tarek, et al.
Published: (2025)
by: Bazizi, Tarek, et al.
Published: (2025)
Distributionally Robust Kalman Filter
by: Jang, Minhyuk, et al.
Published: (2025)
by: Jang, Minhyuk, et al.
Published: (2025)
Invariant Kalman Filter for Relative Dynamics
by: C., Tejaswi K., et al.
Published: (2024)
by: C., Tejaswi K., et al.
Published: (2024)
A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations
by: Joshi, Anant A., et al.
Published: (2025)
by: Joshi, Anant A., et al.
Published: (2025)
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
by: Zeng, Hongtai, et al.
Published: (2024)
by: Zeng, Hongtai, et al.
Published: (2024)
Gain-Only Neural Operators for PDE Backstepping
by: Vazquez, Rafael, et al.
Published: (2024)
by: Vazquez, Rafael, et al.
Published: (2024)
Gain and phase type multipliers for feedback robustness
by: Ringh, Axel, et al.
Published: (2022)
by: Ringh, Axel, et al.
Published: (2022)
Ensemble Kalman Inversion for Constrained Nonlinear MPC: An ADMM-Splitting Approach
by: Khalil, Ahmed, et al.
Published: (2025)
by: Khalil, Ahmed, et al.
Published: (2025)
Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization
by: Bier, Larsen, et al.
Published: (2026)
by: Bier, Larsen, et al.
Published: (2026)
Inverse Optimal Feedback and Gain Margins for Unicycle Stabilization
by: Kim, Kwang Hak, et al.
Published: (2025)
by: Kim, Kwang Hak, et al.
Published: (2025)
Feedback Stability Under Mixed Gain and Phase Uncertainty
by: Liang, Jiajin, et al.
Published: (2024)
by: Liang, Jiajin, et al.
Published: (2024)
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
by: Chakrabarti, Kushal, et al.
Published: (2021)
by: Chakrabarti, Kushal, et al.
Published: (2021)
Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
by: Chakrabarti, Kushal, et al.
Published: (2020)
by: Chakrabarti, Kushal, et al.
Published: (2020)
The Innovation Null Space of the Kalman Predictor: A Stochastic Perspective for DeePC
by: Liu, Aihui, et al.
Published: (2025)
by: Liu, Aihui, et al.
Published: (2025)
Validation methodology on real data of reversible Kalman Filter for state estimation with Manifold
by: Covanov, Svyatoslav, et al.
Published: (2025)
by: Covanov, Svyatoslav, et al.
Published: (2025)
A Proximal Descent Method for Minimizing Weakly Convex Optimization
by: Liao, Feng-Yi, et al.
Published: (2025)
by: Liao, Feng-Yi, et al.
Published: (2025)
Global Convergence of Policy Gradient Methods for ReLU Controllers in Linear Quadratic Regulation
by: Rodriguez-Gil, Jhojan A., et al.
Published: (2026)
by: Rodriguez-Gil, Jhojan A., et al.
Published: (2026)
Energy-Gain Control of Time-Varying Systems: Receding Horizon Approximation
by: Sun, Jintao, et al.
Published: (2025)
by: Sun, Jintao, et al.
Published: (2025)
Improved Small-Signal L2 Gain Analysis for Nonlinear Systems
by: Strong, Amy, et al.
Published: (2023)
by: Strong, Amy, et al.
Published: (2023)
Beyond Nonlinear Small-Gain Design: DADS with Partial-State Feedback
by: Karafyllis, Iasson, et al.
Published: (2026)
by: Karafyllis, Iasson, et al.
Published: (2026)
On Adaptive-Gain Control of Replicator Dynamics in Population Games
by: Zino, Lorenzo, et al.
Published: (2023)
by: Zino, Lorenzo, et al.
Published: (2023)
Prescribed-Time Newton Extremum Seeking using Delays and Time-Periodic Gains
by: Espitia, Nicolas, et al.
Published: (2025)
by: Espitia, Nicolas, et al.
Published: (2025)
Stochastic Model Predictive Control with Online Risk Allocation and Feedback Gain Selection
by: Barbosa, Filipe Marques, et al.
Published: (2026)
by: Barbosa, Filipe Marques, et al.
Published: (2026)
Adaptive Tube MPC: Beyond a Common Quadratically Stabilizing Feedback Gain
by: Dey, Anchita, et al.
Published: (2026)
by: Dey, Anchita, et al.
Published: (2026)
Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control
by: Zino, Lorenzo, et al.
Published: (2024)
by: Zino, Lorenzo, et al.
Published: (2024)
Low-rank approximated Kalman filter using Oja's principal component flow for discrete-time linear systems
by: Tsuzuki, Daiki, et al.
Published: (2024)
by: Tsuzuki, Daiki, et al.
Published: (2024)
Quantum Hamiltonian Descent based Augmented Lagrangian Method for Constrained Nonconvex Nonlinear Optimization
by: Li, Mingze, et al.
Published: (2025)
by: Li, Mingze, et al.
Published: (2025)
Similar Items
-
Natural Gradient Descent for Control
by: Esmzad, Ramin, et al.
Published: (2025) -
On Convergence of the Iteratively Preconditioned Gradient-Descent (IPG) Observer
by: Chakrabarti, Kushal, et al.
Published: (2024) -
Trajectory-Oriented Control Using Gradient Descent: An Unconventional Approach
by: Esmzad, Ramin, et al.
Published: (2024) -
Model Predictive Path Integral Control as Preconditioned Gradient Descent
by: Fazlyab, Mahyar, et al.
Published: (2026) -
IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)