A robust approach to sigma point Kalman filtering
Fuente:
arXiv
Saved in:
| Main Authors: | Yi, Shenglun, Zorzi, Mattia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An update-resilient Kalman filtering approach
by: Yi, Shenglun, et al.
Published: (2025)
by: Yi, Shenglun, et al.
Published: (2025)
Data-driven robust UAV position estimation in GPS signal-challenged environment
by: Yi, Shenglun, et al.
Published: (2025)
by: Yi, Shenglun, et al.
Published: (2025)
Distributionally robust Kalman filtering with volatility uncertainty
by: Han, Bingyan
Published: (2023)
by: Han, Bingyan
Published: (2023)
Identification of Non-causal Graphical Models
by: You, Junyao, et al.
Published: (2024)
by: You, Junyao, et al.
Published: (2024)
A kernel-based PEM estimator for forward models
by: Fattore, Giulio, et al.
Published: (2024)
by: Fattore, Giulio, et al.
Published: (2024)
Robust adaptive Kalman filter for structural performance assessment
by: Shenglun Yi, et al.
Published: (2024)
by: Shenglun Yi, et al.
Published: (2024)
Inverse Cubature and Quadrature Kalman filters
by: Singh, Himali, et al.
Published: (2023)
by: Singh, Himali, et al.
Published: (2023)
Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets
by: Fochesato, Marta, et al.
Published: (2025)
by: Fochesato, Marta, et al.
Published: (2025)
UD-based pairwise and MIMO Kalman-like filtering for estimation of econometric model structures
by: Kulikova, Maria V., et al.
Published: (2024)
by: Kulikova, Maria V., et al.
Published: (2024)
Deterministic Kalman filters for uncertain dynamical systems
by: Kunisch, Karl, et al.
Published: (2025)
by: Kunisch, Karl, et al.
Published: (2025)
Practical prescribed-time prescribed performance control with asymptotic convergence -- A vanishing sigma-modification approach
by: Golestani, Mehdi, et al.
Published: (2026)
by: Golestani, Mehdi, et al.
Published: (2026)
Risk averse deterministic Kalman filters for uncertain dynamical systems
by: Kunisch, Karl, et al.
Published: (2025)
by: Kunisch, Karl, et al.
Published: (2025)
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)
A robust optimization approach to flow decomposition
by: Stinzendörfer, Moritz, et al.
Published: (2024)
by: Stinzendörfer, Moritz, et al.
Published: (2024)
Approximations of the Mortensen observer using higher order extended Kalman filters
by: Breiten, Tobias, et al.
Published: (2026)
by: Breiten, Tobias, et al.
Published: (2026)
Low-rank approximated Kalman-Bucy filters using Oja's principal component flow for linear time-invariant systems
by: Tsuzuki, Daiki, et al.
Published: (2024)
by: Tsuzuki, Daiki, et al.
Published: (2024)
A successive convexification approach for robust receding horizon control
by: Lishkova, Yana, et al.
Published: (2023)
by: Lishkova, Yana, et al.
Published: (2023)
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
by: Dirren, Colin, et al.
Published: (2024)
by: Dirren, Colin, et al.
Published: (2024)
On derivative-free extended Kalman filtering and its Matlab-oriented square-root implementations for state estimation in continuous-discrete nonlinear stochastic systems
by: Kulikova, Maria V., et al.
Published: (2024)
by: Kulikova, Maria V., et al.
Published: (2024)
A multiobjective approach to robust predictive control barrier functions for discrete-time systems
by: Didier, Alexandre, et al.
Published: (2025)
by: Didier, Alexandre, et al.
Published: (2025)
Distributionally Robust Kalman Filter
by: Jang, Minhyuk, et al.
Published: (2025)
by: Jang, Minhyuk, et al.
Published: (2025)
A robust SVM-based approach with feature selection and outliers detection for classification problems
by: Baldomero-Naranjo, Marta, et al.
Published: (2024)
by: Baldomero-Naranjo, Marta, et al.
Published: (2024)
A minimax optimal control approach for robust neural ODEs
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
Interpretable Gradient Descent for Kalman Gain
by: Belabbas, M. A., et al.
Published: (2025)
by: Belabbas, M. A., 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)
Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
by: Rozas, Heraldo, et al.
Published: (2025)
by: Rozas, Heraldo, et al.
Published: (2025)
A dynamical neural network approach for distributionally robust chance constrained Markov decision process
by: Xia, Tian, et al.
Published: (2023)
by: Xia, Tian, et al.
Published: (2023)
A robust optimization approach model for a multi-vaccine multi-echelon supply chain
by: Abderrahmen, Bouchenine, et al.
Published: (2024)
by: Abderrahmen, Bouchenine, et al.
Published: (2024)
First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation
by: Postek, Krzysztof, et al.
Published: (2021)
by: Postek, Krzysztof, et al.
Published: (2021)
Data-driven interdiction with asymmetric cost uncertainty: a distributionally robust optimization approach
by: Ketkov, Sergey S., et al.
Published: (2025)
by: Ketkov, Sergey S., et al.
Published: (2025)
Dissipative iFIR filters for data-driven design
by: Wang, Zixing, et al.
Published: (2024)
by: Wang, Zixing, et al.
Published: (2024)
A constrained optimization approach to improve robustness of neural networks
by: Zhao, Shudian, et al.
Published: (2024)
by: Zhao, Shudian, et al.
Published: (2024)
Data-driven distributionally robust MPC for systems with multiplicative noise: A semi-infinite semi-definite programming approach
by: Das, Souvik, et al.
Published: (2024)
by: Das, Souvik, et al.
Published: (2024)
Continuous-discrete derivative-free extended Kalman filter based on Euler-Maruyama and Itô-Taylor discretizations: Conventional and square-root implementations
by: Kulikova, Maria V., et al.
Published: (2024)
by: Kulikova, Maria V., et al.
Published: (2024)
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)
Kalman-based approaches for online estimation of bioreactor dynamics from fluorescent reporter measurements
by: Asswad, Rand, et al.
Published: (2024)
by: Asswad, Rand, et al.
Published: (2024)
A cutting-surface consensus approach for distributed robust optimization of multi-agent systems
by: Fu, Jun, et al.
Published: (2023)
by: Fu, Jun, et al.
Published: (2023)
DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
by: Wu, Yuan, et al.
Published: (2025)
by: Wu, Yuan, et al.
Published: (2025)
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)
Similar Items
-
An update-resilient Kalman filtering approach
by: Yi, Shenglun, et al.
Published: (2025) -
Data-driven robust UAV position estimation in GPS signal-challenged environment
by: Yi, Shenglun, et al.
Published: (2025) -
Distributionally robust Kalman filtering with volatility uncertainty
by: Han, Bingyan
Published: (2023) -
Identification of Non-causal Graphical Models
by: You, Junyao, et al.
Published: (2024) -
A kernel-based PEM estimator for forward models
by: Fattore, Giulio, et al.
Published: (2024)