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State Estimation

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Showing 201–250 of 1067 papers

TitleStatusHype
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
KN-LIO: Geometric Kinematics and Neural Field Coupled LiDAR-Inertial Odometry—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
Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks—0
Behavioural Analytics: Mathematics of the Mind—0
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer OperatorsCode0
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions—0
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision—0
Simultaneous Latent State Estimation and Latent Linear Dynamics Discovery from Image Observations—0
Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics—0
Automotive Speed Estimation: Sensor Types and Error Characteristics from OBD-II to ADASCode0
Circuit-Theoretic Joint Parameter-State Estimation of Utility-Scale Photovoltaic, Battery, and Grid Systems—0
Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak LocalizationCode0
Learning Physics Informed Neural ODEs With Partial Measurements—0
Efficient Spectral Differentiation in Grid-Based Continuous State Estimation—0
Stochastic Integration Based Estimator: Robust Design and Stone Soup ImplementationCode0
A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation—0
Estimation of the Plant Controller Communication Time-Delay Considering PMSG-Based Wind Turbines—0
Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling—0
Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios—0
Comparative analysis of whole-body center-of-mass estimation methods in dynamic and static activities using marker-based systems—0
Statistical inference for quantum singular models—0
Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet—0
Free Energy Projective Simulation (FEPS): Active inference with interpretability—0
Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach—0
A Secure Estimator with Gaussian Bernoulli Mixture Model—0
MOT FCG++: Enhanced Representation of Spatio-temporal Motion and Appearance Features—0
Learning Hand State Estimation for a Light Exoskeleton—0
Field Assessment of Force Torque Sensors for Planetary Rover NavigationCode0
An Adaptive Online Smoother with Closed-Form Solutions and Information-Theoretic Lag Selection for Conditional Gaussian Nonlinear Systems—0
Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory DataCode0
Federated Data-Driven Kalman Filtering for State Estimation—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical SystemsCode0
Interacting Large Language Model Agents. Interpretable Models and Social Learning—0
Set-Theoretic Direct Data-driven Predictive Control—0
Synthetica: Large Scale Synthetic Data for Robot Perception—0
Observability of Linear Time-Invariant Systems with Relative Measurements: A Geometric Approach—0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments—0
Electrode SOC and SOH estimation with electrode-level ECMs—0
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems—0
Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies—0
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