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Systems & Control Letters
Article . 2006 . Peer-reviewed
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Adaptive observers as nonlinear internal models

Authors: DELLI PRISCOLI, Francesco; L. Marconi; ISIDORI, Alberto;

Adaptive observers as nonlinear internal models

Abstract

This paper shows how the theory of nonlinear adaptive observers can be effectively used in the design of internal models for nonlinear output regulation. The theory substantially enhances the existing results in the context of {\em adaptive} output regulation, by allowing for not necessarily stable zero dynamics of the controlled plant and by weakening the standard assumption of having the steady state control input generated by a linear system.

20 pages

Country
Italy
Keywords

internal model, adaptive observers; internal model; nonlinear control; regulation; tracking, Observability, regulation, 93C10; 93C15, Dynamical Systems (math.DS), tracking, 93C15, Optimization and Control (math.OC), adaptive observers, 93C10, FOS: Mathematics, Nonlinear systems in control theory, nonlinear control, Mathematics - Dynamical Systems, Mathematics - Optimization and Control

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    27
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
Green
bronze