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State Estimation

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Showing 226–250 of 1067 papers

TitleStatusHype
CSI-Free Low-Complexity Remote State Estimation over Wireless MIMO Fading Channels using Semantic Analog Aggregation—0
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models—0
Curvilinear-Coordinate-Based Object and Situation Assessment for Highly Automate—0
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems—0
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows—0
Data assimilation in a nonlinear time-delayed dynamical system—0
Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements—0
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks—0
Data-Driven Input-Output Control Barrier Functions—0
Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization—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
Adaptive Threshold Selection for Set Membership State Estimation with Quantized Measurements—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
A Quick Guide for the Iterated Extended Kalman Filter on Manifolds—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
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning—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
Deep Bayesian Filter for Bayes-faithful Data Assimilation—0
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