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State Estimation

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Showing 326–350 of 1067 papers

TitleStatusHype
Resampling-free Particle Filters in High-dimensionsCode0
Improving the perception of visual fiducial markers in the field using Adaptive Active Exposure Control—0
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms—0
Circuit-theoretic Joint Parameter-State Estimation -- Balancing Optimality and AC Feasibility—0
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes—0
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data AssimilationCode0
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes—0
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise—0
Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data—0
Convolutional Bayesian Filtering—0
Physics-Informed Neural Networks for Satellite State Estimation—0
Physics-Informed Graph Neural Networks for Water Distribution SystemsCode0
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation—0
A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups—0
Stochastic parameter reduced-order model based on hybrid machine learning approaches—0
Event-Triggered State Estimation Through Confidence Level—0
Exosense: A Vision-Based Scene Understanding System For Exoskeletons—0
Science based AI model certification for untrained operational environments with application in traffic state estimation—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
State Estimation Using Single Body-Frame Bearing Measurements—0
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy—0
Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection—0
Matrix Concentration Inequalities for Sensor Selection—0
Power-Flow-Embedded Projection Conic Matrix Completion for Low-Observable Distribution Systems—0
Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein Distance Minimization—0
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