Cover Image

Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein Distance Minimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prabhat, Himanshu, Bhattacharya, Raktim
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Convex Optimization Framework for Computing Robustness Margins of Kalman Filters
by: Prabhat, Himanshu, et al.
Published: (2024)

Sensor Design for Accuracy-Bounded Estimation via Maximum-Entropy Likelihood Synthesis
by: Bhattacharya, Raktim
Published: (2026)

Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
by: Teter, Alexis M. H., et al.
Published: (2025)

Robust Cislunar Navigation via LFT-Based $\mathcal{H}_\infty$ Filtering with Bearing-Only Measurements
by: Bhattacharya, Raktim
Published: (2025)

Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation
by: Glushchenko, Anton, 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)

Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
by: Farokhi, Farhad
Published: (2023)

Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
by: Stamouli, Charis, et al.
Published: (2024)

Entropic Gromov-Wasserstein Distances: Stability and Algorithms
by: Rioux, Gabriel, et al.
Published: (2023)

Uncertainty Propagation and Bayesian Fusion on Unimodular Lie Groups from a Parametric Perspective
by: Ye, Jikai, et al.
Published: (2024)

Excess Mean Squared Error of Empirical Bayes Estimators
by: Ju, Yue, et al.
Published: (2025)

Sparse Actuation for LPV Systems with Full-State Feedback in $\mathcal{H}_2/\mathcal{H}_\infty$ Framework
by: Kumar, Tanay, et al.
Published: (2024)

$\mathcal{H}_2/\mathcal{H}_\infty$ Optimal Control with Sparse Sensing and Actuation
by: Deshpande, Vedang M., et al.
Published: (2024)

On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
by: Lakshminarayanan, Braghadeesh, et al.
Published: (2025)

Robust $\mathcal{H}_\infty$ Observer Design via Finsler's Lemma and IQCs
by: Bhattacharya, Raktim, et al.
Published: (2026)

Standard LSParameter Estimators Ensure Finite Convergence Time for Linear Regression Equations Under an Interval Excitation Assumption
by: Ortega, Romeo, et al.
Published: (2025)

Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube
by: Liu, Zishun, et al.
Published: (2025)

Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)

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)

Quantifying Maximum Actuator Degradation for a Given $H_2/H_{\infty}$ Performance with Full-State Feedback Control
by: Das, Hrishav, et al.
Published: (2024)

Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
by: Li, Gen, et al.
Published: (2023)

Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
by: Wang, Han, et al.
Published: (2025)

Robust Attitude Control of Nonlinear UAV Dynamics with LFT Models and $\mathcal{H}_\infty$ Performance
by: Kumar, Tanay, et al.
Published: (2025)

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)
by: Carè, Algo, et al.
Published: (2024)

Generation and Balancing Capacity in Future Electric Power Systems -- Scenario Analysis Using Bayesian Networks
by: Borenius, Seppo, et al.
Published: (2025)

Response time central-limit and failure rate estimation for stationary periodic rate monotonic real-time systems
by: Zagalo, Kevin, et al.
Published: (2022)

Debiasing Continuous-time Nonlinear Autoregressions
by: Kuang, Simon, et al.
Published: (2025)

Multi-Scale Conformal Prediction: A Theoretical Framework with Coverage Guarantees
by: Baheri, Ali, et al.
Published: (2025)

Exactly or Approximately Wasserstein Distributionally Robust Estimation According to Wasserstein Radii Being Small or Large
by: Ding, Xiao, et al.
Published: (2025)

Distributed adaptive estimation for stochastic large regression models
by: Gan, Die, et al.
Published: (2026)

Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2025)

Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion
by: Li, Tiancheng, et al.
Published: (2019)

Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization
by: Echigo, Kazuya, et al.
Published: (2024)

Hidden Markov Models and the Bayes Filter in Categorical Probability
by: Fritz, Tobias, et al.
Published: (2024)

Covert Bayesian Quickest Change Detection
by: Lo, Yun-Feng, et al.
Published: (2026)

Wasserstein Proximal Coordinate Gradient Algorithms
by: Yao, Rentian, et al.
Published: (2024)

Wasserstein Distributionally Robust Quantile Regression
by: Zhang, Chunxu, et al.
Published: (2026)

Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors
by: Roy, Somjit, et al.
Published: (2026)

Unscented Trajectory Optimization
by: Ross, I. M., et al.
Published: (2024)

Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024)