Results 181 to 190 of about 79,721 (218)

Methodologies for Remote Bridge Inspection-Review. [PDF]

open access: yesSensors (Basel)
Ribeiro D   +22 more
europepmc   +1 more source

Study of Deck Motion Prediction Based on Adaptive Forgetting Least Squares Algorithm

2022 7th International Conference on Control, Robotics and Cybernetics (CRC), 2022
This paper proposed an Adaptive Forgetting Least Squares algorithm based on the Auto-regressive model for the very short-term deck motion prediction, which aims to increase the accuracy and convergence rate of system parameter identification.
Xinqi Wang
exaly   +3 more sources

Research on Stochastic Gradient and Recursive Least Squares Deck Motion Prediction Fusion Algorithm Based on Autoregressive Model

2022 IEEE International Conference on Mechatronics and Automation (ICMA), 2022
This paper mainly studies the very short-term deck motion prediction method. It includes the establishment of the ship motion model, the motion system parameter identification, and the very short-term deck motion prediction.
Xinqi Wang
exaly   +3 more sources

Research and simulation on the carrier deck motion adaptive prediction for ACLS design

Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference, 2014
This paper focuses on the aircraft carrier deck movement prediction techniques which could be applied to the Autonomous Carrier Landing System (ACLS) design. The techniques introduced here are methods based on non-hydrodynamic, which is also called time series analysis algorithms. The algorithms based on AR model and ARMAX model are described in detail
Cheng Nong
exaly   +3 more sources

A prediction method for deck-motion based on online least square support vector machine and genetic algorithm

Journal of Marine Science and Technology, 2018
The prediction accuracy and prediction time are key elements that determine the landing safety of the carrier-based aircraft when ship motions in six-degree freedom are difficult to restrain. The classical prediction methods, such as auto-regressive and moving average model (ARMA) and radical basis function neural network (RBF-NN), always suffer from ...
Xixiang Liu, Qiming Wang, Xianjun Liu
exaly   +3 more sources

A prediction method for deck-motion of air-carrier based on PSO-KELM

2016 10th International Conference on Sensing Technology (ICST), 2016
Prediction for deck-motion is a practical measure to improve the landing/taking off safety of carrier-based aircraft when those deck-motions in six-degree freedoms cannot be effectively controlled/restrained. Deck-motions excited by waves and winds own characteristics of randomness and nonlinearity. It is generally believed those classical feed-forward
Xixiang Liu   +2 more
exaly   +3 more sources

SIMULATION TECHNIQUES IN THE DEVELOPMENT OF THE QUIESCENT PERIOD PREDICTION (QPP) FLIGHT DECK MOTION FORECASTING TOOL

ICCAS 2022, 2022
Quiescent Period Prediction (QPP) purpose is to provide ship motion conditions and motion predictions with sufficient forecasted time to launch, recover, and complete other motion sensitive tasks regardless of the seaway. QPP operates within a federated architecture system containing measurement instruments such as a Wave Radar system used to map ...
B Ferrier   +4 more
openaire   +2 more sources

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