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State Estimation

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Showing 301–350 of 1067 papers

TitleStatusHype
Modulating function based algebraic observer coupled with stable output predictor for LTV and sampled-data systems—0
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach—0
Global and Local Error-Tolerant Decentralized State Estimation under Partially Ordered Observations—0
Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation—0
Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries—0
Modelling, Positioning, and Deep Reinforcement Learning Path Tracking Control of Scaled Robotic Vehicles: Design and Experimental Validation—0
Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study—0
Distributed Data-driven Unknown-input Observers for State Estimation—0
Less Conservative Robust Reference Governors and Their Applications—0
Physics-informed Graphical Neural Network for Power System State Estimation—0
Device-Free Human State Estimation using UWB Multi-Static Radios—0
MHE under parametric uncertainty -- Robust state estimation without informative data—0
One-Shot Initial Orbit Determination in Low-Earth Orbit—0
Dual parametric and state estimation for partial differential equations—0
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
Two-Channel Extended Kalman Filtering with Intermittent Measurements—0
State Estimation for Linear Systems with Quadratic Outputs—0
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles—0
Joint State Estimation and Noise Identification Based on Variational Optimization—0
Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via WearablesCode0
Markov Decision Processes with Noisy State Observation—0
RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose EstimationCode1
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems—0
In-context learning of state estimators—0
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment—0
Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems—0
Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization—0
On Scaling Robust Feedback Control and State Estimation Problems in Power Networks—0
Advancing state estimation for lithium-ion batteries with hysteresis: systematic extended Kalman filter tuning—0
On the Impact of Sampling on Deep Sequential State Estimation—0
Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systemsCode0
Value-Based Reinforcement Learning for Digital Twins in Cloud Computing—0
Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water NetworksCode0
To Transmit or Not to Transmit: Optimal Sensor Schedule for Remote State Estimation of Discrete-Event Systems—0
High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning—0
Creating Temporally Correlated High-Resolution Profiles of Load Injection Using Constrained Generative Adversarial Networks—0
RIS Position and Orientation Estimation via Multi-Carrier Transmissions and Multiple Receivers—0
Machine-learning parameter tracking with partial state observationCode0
Clifford Algebra-Based Iterated Extended Kalman Filter with Application to Low-Cost INS/GNSS Navigation—0
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar ImageryCode1
Data-Driven Moving Horizon Estimation Using Bayesian Optimization—0
Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation—0
R^2NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control—0
Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation—0
Adaptive Threshold Selection for Set Membership State Estimation with Quantized Measurements—0
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control—0
Event-Triggered Consensus for Continuous-Time Distributed Estimation—0
Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model—0
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