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State Estimation

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Showing 251–300 of 1067 papers

TitleStatusHype
Decentralized Input and State Estimation for Multi-agent System with Dynamic Topology and Heterogeneous Sensor Network—0
Decentralized learning for wireless communications and networking—0
Decentralized Multi-agent Filtering—0
Decentralized State Estimation and Opacity Verification Based on Partially Ordered Observation Sequences—0
Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures—0
Behavioural Analytics: Mathematics of the Mind—0
Behavioral Feedback for Optimal LQG Control—0
Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation—0
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning—0
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation—0
Analytical Results for the Error in Filtering of Gaussian Processes—0
Adaptive Temporal Decorrelation of State Estimates—0
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother—0
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC—0
Analysis of Moving Target Defense Against False Data Injection Attacks on Power Grid—0
Bayesian Estimation of Graph Signals—0
BAYESIAN COMPRESSED DEEP LEARNING FOR STATE ESTIMATION OF UNOBSERVABLE POWER SYSTEMS—0
Analysis of human steering behavior differences in human-in-control and autonomy-in-control driving—0
Adaptive Target Tracking Using Retrospective Cost Input Estimation—0
Distributed state estimation: a novel stopping criterion—0
Distributed State Estimation for Linear Time-Varying Systems with Sensor Network Delays—0
Barrier Certificate based Safe Control for LiDAR-based Systems under Sensor Faults and Attacks—0
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs—0
Analysis of Contractions in System Graphs: Application to State Estimation—0
Analysis, Control, and State Estimation for the Networked Competitive Multi-Virus SIR Model—0
A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach—0
Adaptive Robust Unscented Kalman Filter for Dynamic State Estimation of Power System—0
Distributed Observers for LTI Systems with Finite Convergence Time: A Parameter Estimation-based Approach—0
An Adaptive Online Smoother with Closed-Form Solutions and Information-Theoretic Lag Selection for Conditional Gaussian Nonlinear Systems—0
A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability—0
Adaptive robust tracking control with active learning for linear systems with ellipsoidal bounded uncertainties—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Autonomous Crosslink Radionavigation for a Lunar CubeSat Mission—0
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring—0
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM—0
Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods—0
Autonomous Asteroid Characterization Through Nanosatellite Swarming—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
Amortized backward variational inference in nonlinear state-space models—0
A Marginal Distributionally Robust Kalman Filter for Centralized Fusion—0
Distributed Bayesian Learning of Dynamic States—0
Direct Monocular Odometry Using Points and Lines—0
Automated Physics-Derived Code Generation for Sensor Fusion and State Estimation—0
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting—0
A Compressive Sensing Based Method for Harmonic State Estimation—0
Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control—0
Distributed Data-driven Unknown-input Observers for State Estimation—0
Distributed Dynamic State Estimation for Microgrids—0
Distributed Dynamic State-Input Estimation for Power Networks of Microgrids and Active Distribution Systems with Unknown Inputs—0
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking—0
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