Neuro-fuzzy dynamic position prediction for autonomous work-class ROV docking
This paper presents a docking station heave motion prediction method for dynamic remotely
operated vehicle (ROV) docking, based on the Adaptive Neuro-Fuzzy Inference System …
operated vehicle (ROV) docking, based on the Adaptive Neuro-Fuzzy Inference System …
Enhanced disturbance observer-based robust yaw servo control for ROVs with multi-vector propulsion
Y Gong, L Li, S Qi, C Wang, D Song - Industrial Robot: the …, 2021 - emerald.com
Purpose A novel proportional integral derivative-extended state disturbance observer-based
control (PID-ESDOBC) algorithm is proposed to solve the nonlinear hydrodynamics …
control (PID-ESDOBC) algorithm is proposed to solve the nonlinear hydrodynamics …
Using an Adaptive Neuro Fuzzy Inference System to Improve the Calibration Accuracy of Modeless Robots
Y Bai, D Wang - 2022 International Symposium on Power …, 2022 - ieeexplore.ieee.org
This paper is our extended research described a technique used for position error
compensations of the robot and manipulator calibration process based on an Adaptive …
compensations of the robot and manipulator calibration process based on an Adaptive …
Moving Human Detection in Video Frames using Adaptive Neuro-fuzzy Inference System with Hybrid Feature Set
M Nallasivam - SPAST Abstracts, 2021 - spast.org
The need for digitization in the field of surveillance is a major demand trending around the
world. Detecting humans in video-based surveillance systems remains a challenging task …
world. Detecting humans in video-based surveillance systems remains a challenging task …