Iterative learning control and repetitive control in hard disk drive industry-a tutorial

YQ Chen, KL Moore, J Yu… - Proceedings of the 45th …, 2006 - ieeexplore.ieee.org
This paper presents a tutorial on iterative learning control (ILC) and repetitive control (RC)
techniques in hard disk drive (HDD) industry for compensation of repeatable runouts (RRO) …

A survey on iterative learning control for nonlinear systems

JX Xu - International Journal of Control, 2011 - Taylor & Francis
In this article we review the recent advances in iterative learning control (ILC) for nonlinear
dynamic systems. In the research field of ILC, two categories of system nonlinearities are …

Coupling movement primitives: Interaction with the environment and bimanual tasks

A Gams, B Nemec, AJ Ijspeert… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The framework of dynamic movement primitives (DMPs) contains many favorable properties
for the execution of robotic trajectories, such as indirect dependence on time, response to …

Adaptation of manipulation skills in physical contact with the environment to reference force profiles

FJ Abu-Dakka, B Nemec, JA Jørgensen… - Autonomous …, 2015 - Springer
We propose a new methodology for learning and adaption of manipulation skills that involve
physical contact with the environment. Pure position control is unsuitable for such tasks …

A high-order internal model based iterative learning control scheme for nonlinear systems with time-iteration-varying parameters

C Yin, JX Xu, Z Hou - IEEE Transactions on Automatic Control, 2010 - ieeexplore.ieee.org
In this technical note, we propose a new iterative learning control (ILC) scheme for nonlinear
systems with parametric uncertainties that are temporally and iteratively varying. The time …

Optimal iterative learning control design for multi-agent systems consensus tracking

S Yang, JX Xu, D Huang, Y Tan - Systems & Control Letters, 2014 - Elsevier
Under a repeatable operation environment, this paper proposes an iterative learning control
scheme that can be applied to multi-agent systems to perform consensus tracking under the …

Process monitoring and control strategies in extrusion-based bioprinting to fabricate spatially graded structures

AA Armstrong, A Pfeil, AG Alleyne, AJW Johnson - Bioprinting, 2021 - Elsevier
Extrusion-based bioprinting is the most common printing technology used in regenerative
medicine. Despite recent technological advances, a pressing challenge for extrusion …

A survey on fractional-order iterative learning control

Y Li, YQ Chen, HS Ahn, G Tian - Journal of Optimization Theory and …, 2013 - Springer
In this paper, an overview of fractional-order iterative learning control (FOILC) is presented
including main developments of this field since 2001. Many theoretical and experimental …

[图书][B] Iterative learning control for multi-agent systems coordination

S Yang, JX Xu, X Li, D Shen - 2017 - books.google.com
A timely guide using iterative learning control (ILC) as a solution for multi-agent systems
(MAS) challenges, showcasing recent advances and industrially relevant applications …

A multi-objective iterative learning control approach for additive manufacturing applications

I Lim, DJ Hoelzle, KL Barton - Control Engineering Practice, 2017 - Elsevier
Iterative learning control (ILC) is a method for improving the performance of stable, repetitive
systems. Standard ILC is constructed in the temporal domain, with performance …