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State Estimation

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Showing 951–1000 of 1067 papers

TitleStatusHype
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion—0
Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement—0
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation—0
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems—0
Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation—0
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments—0
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems—0
Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF—0
A Practical Proposal for State Estimation at Balanced, Radial Distribution Systems—0
A Proximal Point Approach for Distributed System State Estimation—0
A Quick Guide for the Iterated Extended Kalman Filter on Manifolds—0
A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays—0
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization—0
A Review of Phasor Measurement Unit Requirements and Monitoring Architecture Practices for State Estimation at Distribution Systems—0
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks and Measurement Noise—0
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements—0
Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish—0
A Safety Constrained Control Framework for UAVs in GPS Denied Environment—0
A Secure Estimator with Gaussian Bernoulli Mixture Model—0
A sensitivity-based approach to optimal sensor selection for process networks—0
Aspects of density approximation by tensor trains—0
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression—0
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control—0
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems—0
A Surrogate Data Assimilation Model for the Estimation of Dynamical System in a Limited Area—0
A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation—0
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation—0
A Theory of Uncertainty Variables for State Estimation and Inference—0
A Track-Before-Detect Approach to Multi-Target Tracking on Automotive Radar Sensor Data—0
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding—0
Attack-Resilient State Estimation with Intermittent Data Authentication—0
A fast tunable blurring algorithm for scattered data—0
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing—0
A unified approach for multi-object triangulation, tracking and camera calibration—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
Autonomous Asteroid Characterization Through Nanosatellite Swarming—0
Autonomous Crosslink Radionavigation for a Lunar CubeSat Mission—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability—0
A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach—0
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs—0
Barrier Certificate based Safe Control for LiDAR-based Systems under Sensor Faults and Attacks—0
BAYESIAN COMPRESSED DEEP LEARNING FOR STATE ESTIMATION OF UNOBSERVABLE POWER SYSTEMS—0
Bayesian Estimation of Graph Signals—0
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC—0
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother—0
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation—0
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning—0
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