An Innovative MIMO Iterative Learning Control Approach for the Position Control of a Hydraulic Press
To improve the performance of hydraulic press position control and eliminate the need to manually define control signals, this paper proposes a multi-input-multi-output (MIMO) Iterative Learning Control (ILC) algorithm. The MIMO ILC algorithm design is based on the inversion of the known low frequen...
Guardado en:
Autores principales: | Ignacio Trojaola, Iker Elorza, Eloy Irigoyen, Aron Pujana-Arrese, Gorka Sorrosal |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4ba775a3b4834f389cb5b517b5e964b4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Combined Deep Learning and SOR Detection Technique for High Reliability in Massive MIMO Systems
por: Jun-Yong Jang, et al.
Publicado: (2021) -
Dynamic Output-Only Iterative Learning Control Design
por: Lukasz Hladowski, et al.
Publicado: (2021) -
A Robust Iterative Learning Control for Continuous-Time Nonlinear Systems With Disturbances
por: Michele Pierallini, et al.
Publicado: (2021) -
Sliding Mode Control of Electro-Hydraulic Servo System Based on Optimization of Quantum Particle Swarm Algorithm
por: Xinyu Zheng, et al.
Publicado: (2021) -
Robust Nonlinear Control Scheme for Electro-Hydraulic Force Tracking Control with Time-Varying Output Constraint
por: Wanshun Zang, et al.
Publicado: (2021)