Results 41 to 50 of about 120,129 (162)

Tracking control: Performance funnels and prescribed transient behaviour [PDF]

Systems & Control Letters, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ilchmann, Achim, Ryan, Eugene P., Trenn, Stephan   +2 more
openaire   +1 more source

A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control

IEEE Access
Model-based sensorless control, which estimates the position and speed of a motor via mathematical analysis, has been studied using various methods because of its simple formula and adequate performance without additional power consumption.
Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee   +3 more
doaj   +1 more source

Funnel control for a moving water tank

Automatica, 2022
We study tracking control for a nonlinear moving water tank system modelled by the linearized Saint-Venant equations, where the output is given by the position of the tank and the control input is the force acting on it. For a given reference signal, the objective is that the tracking error evolves within a pre-specified performance funnel.
Berger, Thomas, Puche, Marc, Schwenninger, Felix   +2 more
openaire   +3 more sources

Funnel control based super-twisting sliding mode control of wind turbines

Journal of King Saud University: Engineering Sciences
To enhance trajectory tracking performance and ensure stability amidst variable wind disturbances, this study introduces a novel control technique for wind turbines.
Zaina Ait-Chekdhidh, Aghiles Ardjal, Maamar Bettayeb   +2 more
doaj   +1 more source

The relationship of monocular and binocular mechanisms of spatial perception before and after functional treatment in children with postoperative residual microdeviation

Офтальмохирургия, 2020
Purpose. Of this work is to study the relationship of monocular and binocular mechanisms of spatial perception before and after functional treatment in children with postoperative residual microdeviation.Material and methods.
S. I. Rychkova, V. G. Likhvantseva
doaj   +1 more source

Saturated Output-Feedback Hybrid Reinforcement Learning Controller for Submersible Vehicles Guaranteeing Output Constraints

IEEE Access, 2021
In this brief, we propose a new neuro-fuzzy reinforcement learning-based control (NFRLC) structure that allows autonomous underwater vehicles (AUVs) to follow a desired trajectory in large-scale complex environments precisely.
Omid Elhaki, Khoshnam Shojaei, Declan Shanahan, Allahyar Montazeri   +3 more
doaj   +1 more source

Polyglycolic acid sheet covering to prevent recurrence after surgery for spontaneous pneumothorax: a meta-analysis

Scientific Reports, 2021
The coverage technique using absorbable mesh was first described in a European guideline published in 2015 as a preventive method for the recurrence of spontaneous pneumothorax. We performed a meta-analysis based on a literature search of primary studies
Yuka Kadomatsu, Takayuki Fukui, Shoichi Mori, Toyofumi Fengshi Chen-Yoshikawa, Kenji Wakai   +4 more
doaj   +1 more source

CONTROL SYSTEM DEPENDING ON A PARAMETER

Ural Mathematical Journal, 2021
A nonlinear control system depending on a parameter is considered in a finite-dimensional Euclidean space and on a finite time interval. The dependence on the parameter of the reachable sets and integral funnels of the corresponding differential ...
Vladimir N. Ushakov, Aleksandr A. Ershov, Andrey V. Ushakov, Oleg A. Kuvshinov   +3 more
doaj   +1 more source

Review of the methodology of lower limb prosthesis

Journal of Education, Health and Sport, 2019
Background: The replacement of inefficient or lost organs, especially in the case of lower ends, is associated with a huge experience for the patient, especially in emotional terms.
Daria Zaborna, Beniamin Szmelcer, Natalia Krakowska, Aleksandra Fortuna, Patrycja Wszelaki, Aleksander Florczak, Michał Wilczyński, Małgorzata Gajos, Natalia Skierkowska, Mateusz Porada, Mariusz Wąsicki, Mateusz Modrzejewski, Kornelia Kędziora-Kornatowska   +12 more
doaj   +3 more sources

Adaptive Funnel Control of Hydraulic Excavator Based on Neural Network

Machines
To address the challenge of controlling the hydraulic excavator’s precise motion, a nonlinear backstepping control algorithm is designed, combining a funnel function and a neural network (NN), which effectively compensates for the influence of unmodeled ...
Yuhe Li, Xiaowen Qi
doaj   +1 more source