DocumentCode
3664977
Title
Further results on numerator polynomial matrix for feedforward learning control of MIMO plant with finite zeros
Author
Lorlynn Asuncion Mateo;Kenji Sugimoto
Author_Institution
Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
594
Lastpage
599
Abstract
In the implementation of feedforward learning control, a two-degree-of-freedom (2DOF) structure is assumed where both feedforward (FF) control and feedback (FB) control blocks are used. The two controllers have designated tasks, namely, response shaping by the FF controller and plant stabilization by the FB controller. This article specifically proposes a design for FF learning control considering an unknown multi-input multi-output (MIMO) linear time-invariant plant with finite zeros. To treat the difficulties in the plant introduced by finite zeros, a numerator polynomial matrix fractional representation approach is proposed. The proposed scheme aims to achieve faster error convergence compared to the conventional scheme.
Keywords
"MIMO","Polynomials","Feedforward neural networks","Convergence","Tuning","Context","Numerical simulation"
Publisher
ieee
Conference_Titel
Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference of the
Type
conf
DOI
10.1109/SICE.2015.7285409
Filename
7285409
Link To Document