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State Estimation

Papers

Showing 951975 of 1067 papers

TitleStatusHype
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference0
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion0
Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement0
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation0
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems0
Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation0
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments0
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems0
Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF0
A Practical Proposal for State Estimation at Balanced, Radial Distribution Systems0
A Proximal Point Approach for Distributed System State Estimation0
A Quick Guide for the Iterated Extended Kalman Filter on Manifolds0
A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays0
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization0
A Review of Phasor Measurement Unit Requirements and Monitoring Architecture Practices for State Estimation at Distribution Systems0
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks and Measurement Noise0
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements0
Artificial Lateral Line Based Relative State Estimation for Two Adjacent Robotic Fish0
A Safety Constrained Control Framework for UAVs in GPS Denied Environment0
A Secure Estimator with Gaussian Bernoulli Mixture Model0
A sensitivity-based approach to optimal sensor selection for process networks0
Aspects of density approximation by tensor trains0
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression0
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control0
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems0
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