Title :
Feedforward learning control for MIMO plant with finite zeros: Parameterization of numerator polynomial matrix
Author :
Sugimoto, Kenji ; Mateo, Lorlynn A.
Author_Institution :
Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan
Abstract :
This paper proposes a scheme for feedforward (FF) learning control for an unknown multi-input multi-output (MIMO) linear plant in the two-degree-of-freedom structure. Provided that a feedback (FB) control stabilizes the plant but gives a poor response property to reference signals, FF control with on-line learning of inverse dynamics improves the response significantly. In contrast to existing FF learning control schemes called feedback error learning, we propose a scheme that overcomes difficulties in MIMO plant with finite zeros. Numerical simulation is carried out to show the effectiveness of the proposed scheme.
Keywords :
MIMO systems; feedback; feedforward; learning systems; polynomial matrices; FB control; FF learning control; MIMO plant; feedback control; feedback error learning; feedforward learning control; finite zeros; inverse dynamics online learning; multiinput multioutput linear plant; numerator polynomial matrix parameterization; two-degree-of-freedom structure; Estimation; Feedforward neural networks; MIMO; Numerical simulation; Polynomials; Trajectory;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040030