SOTAVerified

State Estimation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 1067 papers

TitleStatusHype
Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach—0
Nash Equilibrium Between Consumer Electronic Devices and DoS Attacker for Distributed IoT-enabled RSE Systems—0
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks—0
Distributed Kalman Filter with Ultimately Accurate Fused Measurement Covariance—0
Adaptive Robust Unscented Kalman Filter for Dynamic State Estimation of Power System—0
State Estimation Using Particle Filtering in Adaptive Machine Learning Methods: Integrating Q-Learning and NEAT Algorithms with Noisy Radar Measurements—0
A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations—0
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation—0
ZETA: a library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systemsCode0
Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]—0
State estimation for gas purity monitoring and control in water electrolysis systems—0
Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators—0
A Geometric Approach For Pose and Velocity Estimation Using IMU and Inertial/Body-Frame Measurements—0
Deep Learning-Based Extended Target Tracking in ISAC Systems—0
Deep learning for state estimation of commercial sodium-ion batteries using partial charging profiles: validation with a multi-temperature ageing dataset—0
System Identification and Adaptive Input Estimation on the Jaiabot Micro Autonomous Underwater Vehicle—0
On the Steady-State Distributionally Robust Kalman FilterCode0
Set-based state estimation of nonlinear discrete-time systems using constrained zonotopes and polyhedral relaxations—0
EBS-EKF: Accurate and High Frequency Event-based Star Tracking—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder ApproachCode0
Enhancing variational quantum algorithms by balancing training on classical and quantum hardware—0
Ensemble Kalman-Bucy filtering for nonlinear model predictive control—0
Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation—0
Numerically robust Gaussian state estimation with singular observation noiseCode0
Optimal Estimation for Continuous-Time Nonlinear Systems Using State-Dependent Riccati Equation (SDRE)—0
Pulling Back Theorem for Generalizing the Diagonal Averaging Principle in Symplectic Geometry Mode Decomposition and Singular Spectrum Analysis—0
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder NetworksCode0
From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental FacilityCode0
Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks—0
Recursive Estimation for Dynamical Systems with Measurement Bias, Outliers and Constraints—0
Learning-based GNSS Uncertainty Quantification using Continuous-Time Factor Graph Optimization—0
Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks—0
Adaptive Wall-Following Control for Unmanned Ground Vehicles Using Spiking Neural Networks—0
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
Decentralized State Estimation and Opacity Verification Based on Partially Ordered Observation Sequences—0
Learning to be Smooth: An End-to-End Differentiable Particle Smoother—0
TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model—0
Adaptive Output Feedback MPC with Guaranteed Stability and Robustness—0
Variational decision diagrams for quantum-inspired machine learning applications—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
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
Show:102550
← PrevPage 4 of 22Next →

No leaderboard results yet.