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State Estimation

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Showing 551–600 of 1067 papers

TitleStatusHype
On the Distributed Estimation from Relative Measurements: a Graph-Based Convergence Analysis—0
On the Effects and Optimal Design of Redundant Sensors in Collaborative State Estimation—0
On the Impact of Sampling on Deep Sequential State Estimation—0
On the Impact of Smartification Strategies for the State Estimation of Low Voltage Grids—0
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems—0
On the trade-off between event-based and periodic state estimation under bandwidth constraints—0
Optimal control over Markovian wireless communication channels under generalized packet dropout compensation—0
Optimal decoding of dynamic stimuli encoded by heterogeneous populations of spiking neurons - a closed form approximation—0
Optimal Encoding and Decoding for Point Process Observations: an Approximate Closed-Form Filter—0
Optimal Estimation for Continuous-Time Nonlinear Systems Using State-Dependent Riccati Equation (SDRE)—0
Optimal Estimator Design and Properties Analysis for Interconnected Systems with Asymmetric Information Structure—0
Optimal Linear Filtering for Discrete-Time Systems with Infinite-Dimensional Measurements—0
Optimal partitioning in distributed state estimation considering a modified convergence criterion—0
Optimal PMU Placement for Kalman Filtering of DAE Power System Models—0
Optimal State Estimation in the Presence of Non-Gaussian Uncertainty via Wasserstein Distance Minimization—0
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning—0
OTHR multitarget tracking with a GMRF model of ionospheric parameters—0
OUTformation: Distributed Data-Gathering with Feedback under Unknown Environment and Communication Delay Constraints—0
Output-feedback adaptive model predictive control for ramp metering: a set-membership approach—0
Output Feedback Stochastic MPC with Hard Input Constraints—0
Parallel framework for Dynamic Domain Decomposition of Data Assimilation problems a case study on Kalman Filter algorithm—0
Parameterization-Free Observer Design for Nonlinear Systems: Application to the State Estimation of Networked SIR Epidemics—0
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving—0
Particle Flow Gaussian Particle Filter—0
Particle MPC for Uncertain and Learning-Based Control—0
Particle swarm optimization with state-based adaptive velocity limit strategy—0
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes—0
Pedestrian Motion State Estimation From 2D Pose—0
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty—0
Perceived personality state estimation in dyadic and small group interaction with deep learning methods—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Perception for Humanoid Robots—0
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint—0
Performance Analysis of Crosslink Radiometric Measurement based Autonomous Orbit Determination for Cislunar Small Satellite Formations—0
Performance Assessment of Kron Reduction in the Numerical Analysis of Polyphase Power Systems—0
Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet—0
Performance Evaluation of Vision-Based Algorithms for MAVs—0
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation—0
Periodic Proprioceptive Stimuli Learning and Internal Model Development for Avian-inspired Flapping-wing Flight State Estimation—0
Physics Informed Deep Learning: Applications in Transportation—0
Physics-Informed Deep Learning for Traffic State Estimation—0
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook—0
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids—0
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems—0
Physics-informed Graphical Neural Network for Power System State Estimation—0
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator—0
Physics-Informed Neural Networks for Accelerating Power System State Estimation—0
Physics-Informed Neural Networks for Satellite State Estimation—0
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems—0
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications—0
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