Alignment Condition-Based Robust Adaptive Iterative Learning Control of Uncertain Robot System
This paper proposes an adaptive iterative learning control strategy integrated with saturation-based robust control for uncertain robot system in presence of modelling uncertainties, unknown parameter, and external disturbance under alignment condition. An important merit is that it achieves adaptiv...
Main Authors: | Guofeng Tong, Mingxiu Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2014-04-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1155/2014/201317 |
Similar Items
-
Adaptive optimal control approach to robust tracking of uncertain linear systems based on policy iteration
by: Dengguo Xu, et al.
Published: (2021-05-01) -
Robust iterative learning control for uncertain continuous‐time system with input delay and random iteration‐varying uncertainties
by: Hamid Shokri‐Ghaleh, et al.
Published: (2021-09-01) -
Alignment, modeling and iterative adaptive robust control of cross-directional processes
by: Farahmand, Fazel
Published: (2010) -
Alignment, modeling and iterative adaptive robust control of cross-directional processes
by: Farahmand, Fazel
Published: (2010) -
Alignment, modeling and iterative adaptive robust control of cross-directional processes
by: Farahmand, Fazel
Published: (2010)