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Asymptotic linearization of uncertain nonlinear systems by means of continuous control
Author(s) -
Bartolini G.,
Pydynowski P.
Publication year - 1993
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4590030203
Subject(s) - linearization , feedback linearization , nonlinear system , control theory (sociology) , piecewise , mathematics , estimator , matching (statistics) , control (management) , computer science , mathematical analysis , statistics , physics , quantum mechanics , artificial intelligence
In this paper a new method for the solution of the asymptotic linearization of uncertain nonlinear systems by means of a continuous control law is presented. The main feature of this approach consists of a continuous first‐order estimator and control laws with piecewise continuous derivatives. As an important by‐product of this theory we can deal easily with the case of some uncertain systems which do not satisfy the matching condition, and with systems presenting first order unmodelled dynamics.