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State Estimation

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Showing 751–800 of 1067 papers

TitleStatusHype
Distributed Dynamic State-Input Estimation for Power Networks of Microgrids and Active Distribution Systems with Unknown Inputs—0
An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation—0
Agent-aware State Estimation in Autonomous VehiclesCode0
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting—0
Dynamic State Estimation for Integrated Natural Gas and Electric Power Systems—0
Detectability Conditions and State Estimation for Linear Time-Varying and Nonlinear Systems—0
Real Time State Estimation of Power Grids Using Convolutional Neural Networks and State Forecasting Via Recurrent Neural Networks—0
Intrusion Detection and Localization for Networked Embedded Control Systems—0
Time-series Imputation of Temporally-occluded Multiagent Trajectories—0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
Efficient Secure State Estimation against Sparse Integrity Attack for System with Non-derogatory Dynamics—0
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation—0
State Estimation in Unobservable Power Systems via Graph Signal Processing Tools—0
Real-time Grid and DER Co-simulation Platform for Validating Large-scale DER Control Schemes—0
OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots—0
Noise will be noise: Or phase optimized recursive filters for interference suppression, signal differentiation and state estimation (extended version)—0
Analysis of Contractions in System Graphs: Application to State Estimation—0
Optimal Estimator Design and Properties Analysis for Interconnected Systems with Asymmetric Information Structure—0
Low-Rank Hankel Tensor Completion for Traffic Speed EstimationCode0
Data-driven Unknown-input Observers and State Estimation—0
Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation—0
Combined Transmission and Distribution State-Estimation for Future Electric Grids—0
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration—0
Low Complexity Secure State Estimation Design for Linear System with Non-derogatory Dynamics—0
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception—0
Learning Traffic Speed Dynamics from Visualizations—0
Degenerate Gaussian factors for probabilistic inference—0
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in StateCode0
Two stages for visual object tracking—0
A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power GridCode0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
Kalman-based interacting multiple-model wind speed estimator for wind turbines—0
Recursive input and state estimation: A general framework for learning from time series with missing data—0
State and Topology Estimation for Unobservable Distribution Systems using Deep Neural NetworksCode0
Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System—0
Granger Causality Based Hierarchical Time Series Clustering for State Estimation—0
Optimal partitioning in distributed state estimation considering a modified convergence criterion—0
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels—0
Application of blockchain for secure data transmission in distributed state estimationCode0
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems?—0
Particle MPC for Uncertain and Learning-Based Control—0
Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling—0
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements—0
Bayesian Estimation of Graph Signals—0
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system—0
Embedding Power Flow into Machine Learning for Parameter and State Estimation—0
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks—0
Strong Detectability and Observers for Linear Time Varying Systems—0
Handling Missing Observations with an RNN-based Prediction-Update Cycle—0
A Proximal Point Approach for Distributed System State Estimation—0
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