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 :
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