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State Estimation

Papers

Showing 201225 of 1067 papers

TitleStatusHype
Decentralized State Estimation In A Dimension-Reduced Linear RegressionCode0
Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAMCode0
DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning SetupCode0
Data-Driven Set-Based Estimation using Matrix Zonotopes with Set Containment GuaranteesCode0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Extended Kalman Filter State Estimation for Autonomous Competition RobotsCode0
Physics-Informed Graph Neural Networks for Water Distribution SystemsCode0
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements0
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks and Measurement Noise0
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation0
A Review of Phasor Measurement Unit Requirements and Monitoring Architecture Practices for State Estimation at Distribution Systems0
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization0
A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations0
Adaptive model reduction and state estimation of agro-hydrological systems0
A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays0
A Quick Guide for the Iterated Extended Kalman Filter on Manifolds0
A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups0
A Proximal Point Approach for Distributed System State Estimation0
A Practical Proposal for State Estimation at Balanced, Radial Distribution Systems0
A Geometric Approach For Pose and Velocity Estimation Using IMU and Inertial/Body-Frame Measurements0
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction0
Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF0
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems0
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments0
Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation0
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