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State Estimation

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TitleStatusHype
Design of Efficient Point-Mass Filter with Application in Terrain Aided NavigationCode0
Distributed Robust Power System State EstimationCode0
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on SmartphonesCode0
Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating GridsCode0
Decentralized State Estimation In A Dimension-Reduced Linear RegressionCode0
Distributed Weighted Least Squares Estimator Based on ADMMCode0
Learning Dictionaries from Physical-Based Interpolation for Water Network Leak LocalizationCode0
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements—0
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks and Measurement Noise—0
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation—0
A Review of Phasor Measurement Unit Requirements and Monitoring Architecture Practices for State Estimation at Distribution Systems—0
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization—0
A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations—0
Adaptive model reduction and state estimation of agro-hydrological systems—0
A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays—0
A Quick Guide for the Iterated Extended Kalman Filter on Manifolds—0
A Geometric Perspective on Fusing Gaussian Distributions on Lie Groups—0
A Proximal Point Approach for Distributed System State Estimation—0
Data-Driven Moving Horizon Estimation Using Bayesian Optimization—0
A Practical Proposal for State Estimation at Balanced, Radial Distribution Systems—0
A Geometric Approach For Pose and Velocity Estimation Using IMU and Inertial/Body-Frame Measurements—0
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction—0
Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF—0
Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization—0
Approximate Optimal Filter for Linear Gaussian Time-invariant Systems—0
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments—0
Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements—0
Data assimilation in a nonlinear time-delayed dynamical system—0
Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation—0
A General Regularized Distributed Solution for System State Estimation from Relative Measurements—0
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms—0
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows—0
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks—0
Data-Driven Input-Output Control Barrier Functions—0
Curvilinear-Coordinate-Based Object and Situation Assessment for Highly Automate—0
Data-Driven Learning-Based Optimization for Distribution System State Estimation—0
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems—0
Data-driven Moving Horizon Estimation for Angular Velocity of Space Noncooperative Target in Eddy Current De-tumbling Mission—0
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models—0
Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study—0
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes—0
Data-Driven Safety Filter: An Input-Output Perspective—0
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems—0
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication—0
Data-Driven Structural State Estimation via Multi-Fidelity Gaussian Process Models—0
Data-driven Unknown-input Observers and State Estimation—0
CSI-Free Low-Complexity Remote State Estimation over Wireless MIMO Fading Channels using Semantic Analog Aggregation—0
Compressive Sensing Based Situational Awareness and Sensor Placement for DC Microgrids with Relatively Fixed Operation Patterns—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events—0
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