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State Estimation

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Showing 101–125 of 1067 papers

TitleStatusHype
Sparse Spectrahedral Shadows for State Estimation and Reachability Analysis: Set Operations, Validations and Order Reductions—0
Data-Driven Input-Output Control Barrier Functions—0
An Entropic Metric for Measuring Calibration of Machine Learning Models—0
GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits—0
Learning to be Smooth: An End-to-End Differentiable Particle Smoother—0
Decentralized State Estimation and Opacity Verification Based on Partially Ordered Observation Sequences—0
TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model—0
Variational decision diagrams for quantum-inspired machine learning applications—0
Adaptive Output Feedback MPC with Guaranteed Stability and Robustness—0
Optimal PMU Placement for Kalman Filtering of DAE Power System Models—0
Distributed Prescribed-Time Observer for Nonlinear Systems in Block-Triangular Form—0
NDKF: A Neural-Enhanced Distributed Kalman Filter for Nonlinear Multi-Sensor EstimationCode0
C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineeringCode1
Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering—0
Optimal control over Markovian wireless communication channels under generalized packet dropout compensation—0
AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability—0
CSI-Free Low-Complexity Remote State Estimation over Wireless MIMO Fading Channels using Semantic Analog Aggregation—0
SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids—0
KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning—0
Tensor Train Discrete Grid-Based Filters: Breaking the Curse of Dimensionality—0
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation—0
Meta-Learning for Physically-Constrained Neural System Identification—0
Frenet-Serret-Based Trajectory Prediction—0
Target Tracking Using the Invariant Extended Kalman Filter with Numerical Differentiation for Estimating Curvature and Torsion—0
Adaptive Numerical Differentiation for Extremum Seeking with Sensor Noise—0
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