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State Estimation

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Showing 501–550 of 1067 papers

TitleStatusHype
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing—0
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance—0
Learning Robust Data-based LQG Controllers from Noisy Data—0
Model-Based Monitoring and State Estimation for Digital Twins: The Kalman Filter—0
Distributed State Estimation for Linear Time-Varying Systems with Sensor Network Delays—0
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs—0
Vehicle State Estimation and Prediction—0
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement LearningCode0
AC Power Flow Feasibility Restoration via a State Estimation-Based Post-Processing Algorithm—0
Real-Time Implementation of Dynamic State Estimation for Microgrid Load Bus Protection—0
Learning Dictionaries from Physical-Based Interpolation for Water Network Leak LocalizationCode0
Protection Against Graph-Based False Data Injection Attacks on Power Systems—0
Regularization for distributionally robust state estimation and prediction—0
State estimation of an electrochemical lithium-ion battery model: improved observer performance by hybrid redesign—0
Complexity reduction for resilient state estimation of uniformly observable nonlinear systems—0
Remote State Estimation with Posterior-Based Stochastic Event-Triggered Schedule—0
Set-valued State Estimation for Nonlinear Systems Using Hybrid Zonotopes—0
State estimation of a carbon capture process through POD model reduction and neural network approximation—0
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing—0
Exact Set-valued Estimation using Constrained Convex Generators for uncertain Linear Systems—0
Weight Try-Once-Discard Protocol-Based L_2 L_infinity State Estimation for Markovian Jumping Neural Networks with Partially Known Transition Probabilities—0
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination—0
Parameterization-Free Observer Design for Nonlinear Systems: Application to the State Estimation of Networked SIR Epidemics—0
SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry—0
Lidar based 3D Tracking and State Estimation of Dynamic Objects—0
On the trade-off between event-based and periodic state estimation under bandwidth constraints—0
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction—0
Secure State Estimation with Asynchronous Measurements against Malicious Measurement-data and Time-stamp Manipulation—0
Thrust vector control and state estimation architecture for low-cost small-scale launchers—0
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon ForecastingCode0
Feature Tracks are not Zero-Mean Gaussian—0
Provably Correct Sensor-driven Path-following for Unicycles using Monotonic Score Functions—0
An Observer-based Switching Algorithm for Safety under Sensor Denial-of-Service Attacks—0
Design and validation of a state-dependent Riccati equation filter for state of charge estimation in a latent thermal storage device—0
Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness—0
On the Impact of Smartification Strategies for the State Estimation of Low Voltage Grids—0
Design of Efficient Point-Mass Filter with Application in Terrain Aided NavigationCode0
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook—0
RIOT: Recursive Inertial Odometry Transformer for Localisation from Low-Cost IMU Measurements—0
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning—0
Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation—0
Modeling of Interface Loads for EOD Suit Wearers—0
Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering—0
Efficient Point Mass Predictor for Continuous and Discrete Models with Linear Dynamics—0
Physics Informed Deep Learning: Applications in Transportation—0
Distributed State Estimation for Jointly Observable Linear Systems over Time-varying Networks—0
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State EstimationCode0
Output Feedback Stochastic MPC with Hard Input Constraints—0
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking—0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
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