This paper deals with the problem of adaptive output regulation for a class of minimum-phase nonlinear systems. Based on the hybrid framework proposed in [1], an adaptive internal model regulator is proposed, relying on a discrete recursive weighted least squares scheme. Practical and asymptotic regulation results are presented and simulation results are used to show the effectiveness of the method in handling highly uncertain regulation problems.
Bin, M., Marconi, L., Teel, A.R. (2017). Robust design of internal models by discrete recursive least squares identifiers. Institute of Electrical and Electronics Engineers Inc. [10.23919/ACC.2017.7963314].
Robust design of internal models by discrete recursive least squares identifiers
BIN, MICHELANGELO
Writing – Original Draft Preparation
;Marconi, LorenzoWriting – Original Draft Preparation
;
2017
Abstract
This paper deals with the problem of adaptive output regulation for a class of minimum-phase nonlinear systems. Based on the hybrid framework proposed in [1], an adaptive internal model regulator is proposed, relying on a discrete recursive weighted least squares scheme. Practical and asymptotic regulation results are presented and simulation results are used to show the effectiveness of the method in handling highly uncertain regulation problems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
