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Adaptive Iterative Learning with Time-Varying Delay and Unknown Control Direction [PDF]

open access: yesJisuanji gongcheng, 2020
To address the influence of time-varying unknown control direction and time-varying delay on the nonlinear time-varying delay system with time-varying unknown control direction,this paper proposes a control method for adaptive iterative learning.The ...
XIA Yuantian, ZHOU Juxiang, XU Tianwei
doaj   +1 more source

Slowing-Down in the Radiator and Cherenkov Radiation Angular Distributions from Relativistic Heavy Ions at FAIR, SPS and LHC energies [PDF]

open access: yes, 2007
An adaptive learning algorithm using laser velocity meter is proposed for the process control of tandem cold mills. This method is used for on-line adaptive learning calculation of deformation resistance of strip and rolling friction models.
Bogdanov, O.   +4 more
core   +3 more sources

Neural Network-Based Adaptive Learning Control for Robot Manipulators With Arbitrary Initial Errors

open access: yesIEEE Access, 2019
In this paper, a neural network-based adaptive iterative learning control scheme is developed to solve the trajectory tracking problem for rigid robot manipulators with arbitrary initial errors.
Lingwei Wu, Qiuzhen Yan, Jianping Cai
doaj   +1 more source

Event-based iterative neural control for a type of discrete dynamic plant

open access: yes工程科学学报, 2022
With the widespread popularity of network-based techniques and extension of computer control scales, more dynamical systems, particularly complex nonlinear dynamics, including increasing communication burdens, increasing difficulties in building accurate
Ding WANG
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

A MRAS-based Learning Feed-forward Controller [PDF]

open access: yes, 2006
Inspired by learning feed–forward control structures, this paper considers the adaptation of the parameters of a model–reference based learning feed–forward controller that realizes an inverse model of the process.
Amerongen, Job van
core   +3 more sources

Model-Free Adaptive Iterative Learning Bipartite Containment Control for Multi-Agent Systems

open access: yesSensors, 2022
This paper studies the bipartite containment tracking problem for a class of nonlinear multi-agent systems (MASs), where the interactions among agents can be both cooperative or antagonistic.
Shangyu Sang, Ruikun Zhang, Xue Lin
doaj   +1 more source

Adaptive PID Type Iterative Learning Control

open access: yesInternational Journal of Electrical and Computer Engineering (IJECE), 2014
In this paper, an adaptive PID-type iterative learning control scheme is proposed for tracking problem in repetitive systems with unknown parameters. In this scheme, we use a combination of an optimal PID-type iterative learning controller and progection like adgusting algorithm that is based on tracking error which decreases by iterations increment ...
Sara Zamiri   +2 more
openaire   +1 more source

Incremental embodied chaotic exploration of self-organized motor behaviors with proprioceptor adaptation [PDF]

open access: yes, 2015
This paper presents a general and fully dynamic embodied artificial neural system, which incrementally explores and learns motor behaviors through an integrated combination of chaotic search and reflex learning.
Aida   +61 more
core   +2 more sources

Error Convergence In An Adaptive Iterative Learning Controller [PDF]

open access: yesInternational Journal of Control, 2000
Stability theorems for an adaptive iterative learning control (ILC) system are motivated and described in compact terms that relate the properties of the schemes to systems structure and other important aspects of systems dynamics. The use of high gain feedback is reviewed and a full proof of the convergence of s 'Universal' adaptive scheme based on ...
Owens, D.H., Munde, G.
openaire   +2 more sources

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