TY - GEN
T1 - Generalization of feedback error learning (FEL) to strictly proper MIMO systems
AU - Alali, Basel
AU - Hirata, Kentaro
AU - Sugimoto, Kenji
PY - 2006/1/1
Y1 - 2006/1/1
N2 - This paper studies MIMO (Multi Input Multi Output) learning control systems. It generalizes the well-known Feedback Error Learning (PEL) scheme of Kawato et al. to MIMO systems which are not necessarily biproper, and hence not invertible. Assuming that a "diagonal interactor" is known, ideal and adaptive feedforward controllers are derived to achieve PEL. It is also proven that the stability of the generalized scheme is guaranteed under a positive realness condition. Simulation results illustrate the effectiveness of the proposed method.
AB - This paper studies MIMO (Multi Input Multi Output) learning control systems. It generalizes the well-known Feedback Error Learning (PEL) scheme of Kawato et al. to MIMO systems which are not necessarily biproper, and hence not invertible. Assuming that a "diagonal interactor" is known, ideal and adaptive feedforward controllers are derived to achieve PEL. It is also proven that the stability of the generalized scheme is guaranteed under a positive realness condition. Simulation results illustrate the effectiveness of the proposed method.
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U2 - 10.1109/acc.2006.1657591
DO - 10.1109/acc.2006.1657591
M3 - Conference contribution
AN - SCOPUS:34047233253
SN - 1424402107
SN - 9781424402106
T3 - Proceedings of the American Control Conference
SP - 5450
EP - 5455
BT - Proceedings of the 2006 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 American Control Conference
Y2 - 14 June 2006 through 16 June 2006
ER -