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State Estimation

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Showing 651–700 of 1067 papers

TitleStatusHype
On the adaptation of recurrent neural networks for system identificationCode1
Functional observability and target state estimation in large-scale networksCode0
Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework—0
Online State Estimation for Supervisor Synthesis in Discrete-Event Systems with Communication Delays and Losses—0
The Geometry of Navigation Problems—0
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System—0
State Estimation in Electric Power Systems Leveraging Graph Neural NetworksCode1
Parallel framework for Dynamic Domain Decomposition of Data Assimilation problems a case study on Kalman Filter algorithm—0
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication—0
Variational-Based Nonlinear Bayesian Filtering with Biased Observations—0
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation—0
Entropy-Regularized Partially Observed Markov Decision Processes—0
Adaptive model reduction and state estimation of agro-hydrological systems—0
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data—0
Consensus-Based Distributed Filtering with Fusion Step Analysis—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation—0
Adaptive calibration of Heston Model using PCRLB based switching Filter—0
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Deep Measurement Updates for Bayes Filters—0
Hidden Markov Modeling over Graphs—0
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking—0
The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo—0
Adversarial Tradeoffs in Robust State Estimation—0
Neural optimal feedback control with local learning rulesCode1
Robust Moving Target Defence Against False Data Injection Attacks in Power GridsCode1
Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security—0
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems—0
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation—0
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates—0
Noninvasive ultrasound for Lithium-ion batteries state estimation—0
Online Variational Filtering and Parameter LearningCode1
RPT++: Customized Feature Representation for Siamese Visual Tracking—0
Fixed-Time Convergent Distributed Observer Design of Linear Systems: A Kernel-Based Approach—0
Distributed Dynamic State Estimation for Microgrids—0
Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty—0
Scheduler-Pointed False Data Injection Attack for Event-Based Remote State Estimation—0
Dynamical Wasserstein Barycenters for Time-series ModelingCode1
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models—0
State Estimation Using a Network of Distributed Observers With Unknown Inputs—0
A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability—0
Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources—0
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning AgentsCode0
Location Method for Forced Oscillation Sources Caused by Synchronous Generators—0
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity—0
Online Distribution System State Estimation via Stochastic Gradient Algorithm—0
From SLAM to Situational Awareness: Challenges and Survey—0
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition—0
Kalman Filter Is All You Need: Optimization Works When Noise Estimation Fails—0
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