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State Estimation

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TitleStatusHype
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems—0
Physics-informed Graphical Neural Network for Power System State Estimation—0
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator—0
Physics-Informed Neural Networks for Accelerating Power System State Estimation—0
Physics-Informed Neural Networks for Satellite State Estimation—0
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems—0
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications—0
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation—0
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting—0
Power-Flow-Embedded Projection Conic Matrix Completion for Low-Observable Distribution Systems—0
Power Systems Data Fusion based on Belief Propagation—0
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Precision Enhancement of Distribution System State Estimation via Tri-Objective Micro Phasor Measurement Unit Deployment—0
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach—0
Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts—0
Privacy-Preserving Optimal State Estimation with Low Complexity via Cramér-Rao Lower Bound Approach—0
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale—0
Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]—0
Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation—0
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning—0
Protection Against Graph-Based False Data Injection Attacks on Power Systems—0
Provably Correct Sensor-driven Path-following for Unicycles using Monotonic Score Functions—0
Pulling Back Theorem for Generalizing the Diagonal Averaging Principle in Symplectic Geometry Mode Decomposition and Singular Spectrum Analysis—0
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks—0
Quantum Annealing based Power Grid Partitioning for Parallel Simulation—0
Quickest Attack Detection in Smart Grid Based on Sequential Monte Carlo Filtering—0
Quickest Bayesian and non-Bayesian detection of false data injection attack in remote state estimation—0
R^2NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control—0
R^3-VQA: "Read the Room" by Video Social Reasoning—0
RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets—0
Rate-Limited Closed-Loop Distributed ISAC Systems: An Autoencoder Approach—0
Real-time Grid and DER Co-simulation Platform for Validating Large-scale DER Control Schemes—0
Real-Time Implementation of Dynamic State Estimation for Microgrid Load Bus Protection—0
Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks—0
Real-Time Numerical Differentiation of Sampled Data Using Adaptive Input and State Estimation—0
Real-time Prediction of Automotive Collision Risk from Monocular Video—0
Real Time State Estimation of Power Grids Using Convolutional Neural Networks and State Forecasting Via Recurrent Neural Networks—0
Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design—0
Recursive Estimation for Dynamical Systems with Measurement Bias, Outliers and Constraints—0
Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems—0
Recursive input and state estimation: A general framework for learning from time series with missing data—0
Recursive Privacy-Preserving Estimation Over Markov Fading Channels—0
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation—0
Redundant Perception and State Estimation for Reliable Autonomous Racing—0
Regularization for distributionally robust state estimation and prediction—0
Reinforcement Learning Approach to Estimation in Linear Systems—0
Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems—0
Reliable State Estimation in a Truck-Semitrailer Combination using an Artificial Neural Network-Aided Extended Kalman Filter—0
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