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State Estimation

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Showing 776–800 of 1067 papers

TitleStatusHype
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
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