Results 161 to 170 of about 15,255 (305)
Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach
Journal of Field Robotics, EarlyView.ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp +3 more
wiley +1 more source
The Mixture-of-Kalman-Filters Model.
, 2015 A) The updating process of a single Kalman filter. On each trial a prior internal estimate (blue) is combined with sensory feedback (red) to obtain a posterior estimate (black) of the mapping that should have been used.
Marc O. Ernst (252140) +1 more
core +1 more source
Journal of Field Robotics, EarlyView.ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah +4 more
wiley +1 more source
Reduced sampling rate Kalman filters for carrier phase and frequency offset tracking in 200 Gbps 16 QAM coherent communication system. [PDF]
Sci Rep, 2021 Sharma S, Krishnamurthy PK.
europepmc +1 more source
A Comparison of Error Subspace Kalman Filters
, 2005 Three advanced filter algorithms based on the Kalman filter arereviewed and presented in a unified notation. They are the wellknown Ensemble Kalman filter (EnKF), the Singular EvolutiveExtended Kalman (SEEK) filter, and the less common SingularEvolutive ...
Nerger, Lars +2 more
core +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
SmartBot, EarlyView.This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Design and real time implementation of nonlinear minimum variance filter
, 2008 In this paper, the design and real time implementation of a Nonlinear Minimum Variance (NMV) estimator is presented using a laboratory based ball and beam system. The real time implementation employs a LabVIEW based tool. The novelty of this work lies in
Grimble, M.J., Naz, Shamser Ali
core
A Unification of Ensemble Square Root Kalman Filters
, 2012 In recent years, several ensemble-based Kalman filter algorithms have been developed that have been classified as ensemble square-root Kalman filters.
Nerger, Lars +4 more
core +1 more source
Better on Average? Average Inflation Targeting With an Unclear Averaging Window
Southern Economic Journal, EarlyView.ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley +1 more source