Results 31 to 40 of about 475,550 (200)

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

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

Two-Dimensional Fractional Order Iterative Learning Control for Repetitive Processes

open access: yesFractal and Fractional, 2023
The convergence and robustness rejecting parameters variations and external disturbance of the system are crucial for repetitive processes. In this paper, a two-dimensional robust fractional-order iterative learning control (FOILC) is proposed for the ...
Bitao Zhang, Haobo Luo
doaj   +1 more source

Iterative learning fault-tolerant control for the networked control systems with initial state disturbance [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2022
The iterative learning fault-tolerant control strategies with non-strict repetitive initial state disturbances are studied for the linear discrete networked control systems (NCSs) and the nonlinear discrete NCSs.
Fu Xingjian, Zhao Qianjun
doaj   +1 more source

A 2D systems approach to iterative learning control for discrete linear processes with zero Markov parameters [PDF]

open access: yes, 2011
In this paper a new approach to iterative learning control for the practically relevant case of deterministic discrete linear plants with uniform rank greater than unity is developed.
Cai, Z   +5 more
core   +1 more source

Open-closed Iterative Learning Control Algorithm for Exoskeleton Rehabilitation Purposes [PDF]

open access: yesMATEC Web of Conferences, 2019
The paper designs an appropriate iterative learning control (ILC) algorithm based on the trajectory characteristics of upper exosk el eton robotic system.
Lazarević Mihailo   +2 more
doaj   +1 more source

Optimal control of non-stationary differential linear repetitive processes [PDF]

open access: yes, 2008
Differential repetitive processes are a distinct class of continuousdiscrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is the fact that information ...
Dymkou, S   +3 more
core   +1 more source

Design of excitation controller of synchronous generator

open access: yesGong-kuang zidonghua, 2013
In view of problems of poor stability, easy to be influenced by interference and bad tracking of desired trajectory existed in excitation controller of synchronous generator based on open-loop iterative learning control, an excitation controller of ...
WU Jun-xiao, BAI Jing-cai, MENG Xin-yua
doaj   +1 more source

Some Controllability Aspects for Iterative Learning Control

open access: yesAsian Journal of Control, 2018
AbstractSome controllability aspects for iterative learning control (ILC) are discussed. Via a batch (lifted) description of the problem a state space model of the system to be controlled is formulated in the iteration domain. This model provides insight and enables analysis of the conditions for and relationships between controllability, output ...
Patrik Leissner   +2 more
openaire   +4 more sources

Predictive Variable Gain Iterative Learning Control for PMSM

open access: yesJournal of Control Science and Engineering, 2015
A predictive variable gain strategy in iterative learning control (ILC) is introduced. Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking.
Huimin Xu, Xuedong Zhang, Xiangjie Liu
doaj   +1 more source

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