This paper deals with the problem of output regulation for minimum-phase single-input single-output nonlinear systems. We propose a variation of the “regression-like” design introduced by Byrnes and Isidori (2004), showing how it is possible to move the internal model from the control input to the regulation error. In this way, we obtain a post-processing scheme that more likely resembles the general design for linear systems. Although these approaches are equivalent for single-input single-output systems, a post-processing design represents a step forward in the systematic extension of the theory to the general multivariable case.
About a Post-processing Design of Regression-like Nonlinear Internal Models / Bin, Michelangelo; Marconi, Lorenzo. - ELETTRONICO. - 50:1(2017), pp. 15367-15372. (Intervento presentato al convegno IFAC 2017 World Congress tenutosi a Tolosa, Francia nel 9-14 Luglio 2017) [10.1016/j.ifacol.2017.08.1858].
About a Post-processing Design of Regression-like Nonlinear Internal Models
Bin, MichelangeloWriting – Original Draft Preparation
;Marconi, LorenzoWriting – Original Draft Preparation
2017
Abstract
This paper deals with the problem of output regulation for minimum-phase single-input single-output nonlinear systems. We propose a variation of the “regression-like” design introduced by Byrnes and Isidori (2004), showing how it is possible to move the internal model from the control input to the regulation error. In this way, we obtain a post-processing scheme that more likely resembles the general design for linear systems. Although these approaches are equivalent for single-input single-output systems, a post-processing design represents a step forward in the systematic extension of the theory to the general multivariable case.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.