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State Estimation

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Showing 51–100 of 1067 papers

TitleStatusHype
Online model learning with data-assimilated reservoir computers—0
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows—0
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation—0
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel—0
Spike-Kal: A Spiking Neuron Network Assisted Kalman Filter—0
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine—0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
Guided Wave-Based Structural Awareness Under Varying Operating States via Manifold Representations—0
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
Distributed Kalman Filter with Ultimately Accurate Fused Measurement Covariance—0
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks—0
State Estimation Using Particle Filtering in Adaptive Machine Learning Methods: Integrating Q-Learning and NEAT Algorithms with Noisy Radar Measurements—0
Adaptive Robust Unscented Kalman Filter for Dynamic State Estimation of Power System—0
A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations—0
A Digital Twin of an Electrical Distribution Grid: SoCal 28-Bus DatasetCode1
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation—0
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
ZETA: a library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systemsCode0
Sparsity-Promoting Reachability Analysis and Optimization of Constrained ZonotopesCode1
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
System Identification and Adaptive Input Estimation on the Jaiabot Micro Autonomous Underwater Vehicle—0
HDVIO2.0: Wind and Disturbance Estimation with Hybrid Dynamics VIOCode5
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
Set-based state estimation of nonlinear discrete-time systems using constrained zonotopes and polyhedral relaxations—0
On the Steady-State Distributionally Robust Kalman FilterCode0
SuperEIO: Self-Supervised Event Feature Learning for Event Inertial OdometryCode1
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
Inertial-Based LQG Control: A New Look at Inverted Pendulum StabilizationCode1
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
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
General-Purpose Aerial Intelligent Agents Empowered by Large Language Models—0
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
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