Iterative learning control applied to distributed‐order linear time invariant MIMO systems to achieve learnability-Reference-Cited by-同舟云学术

Iterative learning control applied to distributed‐order linear time invariant MIMO systems to achieve learnability

Published:2022-11-16 Issue: Volume: Page:
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Ángeles‐Ramírez Oscar A.¹^ORCID,Fernández‐Anaya Guillermo¹^ORCID,Muñoz‐Vázquez Aldo J.²^ORCID,Sánchez‐Torres Juan D.³^ORCID,Meléndez‐Vázquez Fidel¹^ORCID

Affiliation:

1. Physics and Mathematics Department Universidad Iberoamericana 880 Prol. Paseo de la Reforma, Lomas de Santa Fe, Álvaro Obregón Mexico City 01219 Mexico

2. Department of Multidisciplinary Engineering Texas A&M University, Higher Education Center at McAllen 6200 Tres Lagos Blvd. McAllen Texas 78504 USA

3. Department of Mathematics and Physics ITESO, Periférico Sur Manuel Gomez Morin 8585 Tlaquepaque Jalisco 45604 Mexico

Publisher

Wiley

Subject

Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2973

Reference32 articles.

1. Robust predictive iterative learning control for linear time‐varying systems

2. Robust monotonic convergent iterative learning control design: An LMI‐based method

3. Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM

4. Learning control theory for robotic motion

5. Discrete‐time fractional fuzzy control of electrically driven mechanical systems

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