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State Estimation

Papers

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Showing 401–425 of 1067 papers

TitleStatusHype
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
Machine-learning parameter tracking with partial state observationCode0
RIS Position and Orientation Estimation via Multi-Carrier Transmissions and Multiple Receivers—0
Clifford Algebra-Based Iterated Extended Kalman Filter with Application to Low-Cost INS/GNSS Navigation—0
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
Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems—0
Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Systems with Multi-Source Multi-Rate Data—0
Deep Learning Based Forecasting-Aided State Estimation in Active Distribution Networks—0
MISAR: A Multimodal Instructional System with Augmented RealityCode0
Exact nonlinear state estimationCode0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
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