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State Estimation

Papers

Showing 451–500 of 1067 papers

TitleStatusHype
An Analytical Lidar Sensor Model Based on Ray Path Information—0
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline—0
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution—0
Hybrid data-driven physics model-based framework for enhance cyber-physical smart grid security—0
Effects of Initial Attitude Estimation Errors on Loosely Coupled Smartphone GPS/IMU Integration System—0
Belief propagation for supply networks: Efficient clustering of their factor graphs—0
Identification and Correction of False Data Injection Attacks against AC State Estimation using Deep Learning—0
Identification of Gaussian Process State Space Models—0
Analytic solution of the exact Daum-Huang flow equation for particle filters—0
Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension—0
Adaptive Threshold Selection for Set Membership State Estimation with Quantized Measurements—0
Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
Improving the perception of visual fiducial markers in the field using Adaptive Active Exposure Control—0
In-context learning of state estimators—0
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine—0
Incorporating Nonlocal Traffic Flow Model in Physics-informed Neural Networks—0
EBS-EKF: Accurate and High Frequency Event-based Star Tracking—0
Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process—0
Behavioural Analytics: Mathematics of the Mind—0
DynaVINS++: Robust Visual-Inertial State Estimator in Dynamic Environments by Adaptive Truncated Least Squares and Stable State Recovery—0
Dynamic State Estimation of Nonlinear Differential Algebraic Equation Models of Power Networks—0
Information-Driven Path Planning for UAV with Limited Autonomy in Large-scale Field Monitoring—0
Information Theoretic Data Injection Attacks with Sparsity Constraints—0
Initialization of a Disease Transmission Model—0
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments—0
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation—0
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation—0
Behavioral Feedback for Optimal LQG Control—0
Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
Intrusion Detection and Localization for Networked Embedded Control Systems—0
Inverse Extended Kalman Filter -- Part II: Highly Non-Linear and Uncertain Systems—0
Investigating the impact of autocorrelation on time-varying connectivity—0
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM—0
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems—0
Dynamic State Estimation for Radial Microgrid Protection—0
Dynamic State Estimation for Load Bus Protection on Inverter-Interfaced Microgrids—0
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise—0
Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle—0
Joint Matrix Completion and Compressed Sensing for State Estimation in Low-observable Distribution System—0
Joint Radar Sensing, Location, and Communication Resources Optimization in 6G Network—0
Joint RIS Calibration and Multi-User Positioning—0
Joint Sensor Node Selection and State Estimation for Nonlinear Networks and Systems—0
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning—0
Joint State Estimation and Noise Identification Based on Variational Optimization—0
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach—0
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers—0
Kalman-based interacting multiple-model wind speed estimator for wind turbines—0
Dynamic State Estimation for Integrated Natural Gas and Electric Power Systems—0
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