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Adaptive tracking of sinusoids with unknown frequencies for some classes of SISO non‐minimum phase systems
Author(s) -
Bartolini Giorgio,
Estrada Antonio,
Punta Elisabetta
Publication year - 2016
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2675
Subject(s) - control theory (sociology) , bounded function , nonlinear system , invertible matrix , tracking (education) , mathematics , minimum phase , amplitude , state (computer science) , signal (programming language) , affine transformation , phase (matter) , computer science , algorithm , mathematical analysis , physics , control (management) , artificial intelligence , pure mathematics , programming language , psychology , pedagogy , quantum mechanics
Summary In this paper, the output‐tracking problem for a class of non‐affine nonlinear systems with unstable zero‐dynamics is addressed. The system output must track a signal, which is the sum of a known number of sinusoids with unknown frequencies amplitudes and phases. The non‐minimum phase nature of the considered systems prevents the direct tracking by standard sliding mode methods, which are known to generate unstable behaviors of the internal dynamics. The proposed method relies on the properties of differentially flat systems under mild assumptions relevant to the relation between the original output and a suitably designed flat output. As a result, the original problem is transformed into a state‐tracking problem for invertible stable systems, where any internal state turns out to be bounded. Because of the uncertainty in the frequencies and in the parameters defining the relationship between system output and flat states, adaptive indirect methods are applied. Copyright © 2016 John Wiley & Sons, Ltd.