Results 11 to 20 of about 81,148 (167)

Iterative Learning Control — Monotonicity and Optimization [PDF]

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2008
Iterative Learning Control — Monotonicity and OptimizationThe area if Iterative Learning Control (ILC) has great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance.
Owens, David H., Daley, Steve
openaire   +2 more sources

Neural Network-Based Error-Tracking Iterative Learning Control for Tank Gun Control Systems With Arbitrary Initial States

open access: yesIEEE Access, 2020
In this paper, a novel neural network-based error-track iterative learning control scheme is proposed to tackle trajectory tracking problem for tank gun control systems.
Qiyao Yang   +4 more
doaj   +1 more source

Iterative Learning Applied to Hydraulic Pressure Control [PDF]

open access: yesModeling, Identification and Control, 2018
This paper addresses a performance limiting phenomenon that may occur in the pressure control of hydraulic actuators subjected to external velocity disturbances.
Petter H. Gøytil   +2 more
doaj   +1 more source

A Novel Iterative Second-Order Neural-Network Learning Control Approach for Robotic Manipulators

open access: yesIEEE Access, 2023
Iterative Learning Control (ILC) is known as a high-accuracy control strategy for repetitive control missions of mechatronic systems. However, applying such learning controllers for robotic manipulators to result in excellent control performances is now ...
Dang Xuan Ba   +2 more
doaj   +1 more source

Development of Magnetically Levitated Rotary Table for Repetitive Trajectory Tracking

open access: yesSensors, 2022
The magnetic levitation system has been considered as a promising actuator in micromachining areas of study. In order to improve the tracking performance and disturbance rejection of the magnetically levitated rotary table, an iterative learning PID ...
Fengqiu Xu, Kaiyang Zhang, Xianze Xu
doaj   +1 more source

Barrier Adaptive Iterative Learning Control for Tank Gun Control Systems Under Nonzero Initial Error Condition

open access: yesIEEE Access, 2022
In this paper, a barrier adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun control systems under nonzero initial error condition.
Zhimin Zhou   +4 more
doaj   +1 more source

INTELLIGENT FRACTIONAL ORDER ITERATIVE LEARNING CONTROL USING FEEDBACK LINEARIZATION FOR A SINGLE-LINK ROBOT

open access: yesInternational Islamic University Malaysia Engineering Journal, 2017
In this paper, iterative learning control (ILC) is combined with an optimal fractional order derivative (BBO-Da-type ILC) and optimal fractional and proportional-derivative (BBO-PDa-type ILC).
Iman Ghasemi   +2 more
doaj   +1 more source

Design of a trajectory contour controller for a dual‐axis precision motion stage based on improved iterative learning

open access: yesIET Control Theory & Applications, 2023
To solve the problem of contour error (CE) arising from the dual‐axis coupling of the X–Y coordinate planar motor stage under reciprocating motion conditions in integrated circuit (IC) manufacturing, the following two perspectives are considered ...
Xiyou Chen   +4 more
doaj   +1 more source

An adaptive iterative learning control approach based on disturbance estimation for manipulator system

open access: yesInternational Journal of Advanced Robotic Systems, 2019
An adaptive iterative learning control approach based on disturbance estimation has been developed for trajectory tracking of manipulators with uncertain parameters and external disturbances.
Keping Liu   +3 more
doaj   +1 more source

Robust PD-Type Iterative Learning Control of Discrete Linear Repetitive Processes in the Finite Frequency Domain

open access: yesMathematics, 2020
This paper studies a robust iterative learning control design for discrete linear repetitive processes in the finite frequency domain. Firstly, the state-space model of the iterative learning process is deduced.
Lei Wang, Mu Li, Huizhong Yang
doaj   +1 more source

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