Time‐iteration‐domain integrated learning control for robust trajectory tracking and disturbance rejection: With application to a PMLSM
Abstract Iterative learning control (ILC) has been widely used to improve motion performance when reference trajectories and external disturbances are strictly repetitive. However, the occurrence of non‐repetitive trajectories and disturbances would significantly deteriorate the performance of tradi...
Guardado en:
Autores principales: | Weike Liu, Yunlang Xu, Runze Ding, Feng Shu, Xiaofeng Yang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/16f7132dbc6d48afa257f9b4c6380409 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Combined adaptive neural network and regressor‐based trajectory tracking control of flexible joint robots
por: Jorge Montoya‐Cháirez, et al.
Publicado: (2022) -
Preview repetitive control with equivalent input disturbance for continuous‐time linear systems
por: Yong‐Hong Lan, et al.
Publicado: (2022) -
Bilateral force sensorless control based on finite‐time adaptive sliding‐mode‐assisted disturbance observer
por: Dapeng Tian, et al.
Publicado: (2021) -
Adaptive super‐twisting algorithm‐based fractional‐order sliding mode control of redundantly actuated cable driving parallel robot with uncertainty and disturbance estimation
por: Chen Zhengsheng, et al.
Publicado: (2021) -
A DSC approach to adaptive dynamic region‐based tracking control for strict‐feedback non‐linear systems
por: Xiaoming Sun, et al.
Publicado: (2022)