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Adaptive input‐to‐output stabilization of nonlinear systems
Author(s) -
Efimov D. V.,
Fradkov A. L.
Publication year - 2008
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.1039
Subject(s) - parameterized complexity , nonlinear system , control theory (sociology) , set (abstract data type) , nonlinear dynamical systems , dynamical systems theory , computer science , mathematics , algorithm , artificial intelligence , physics , control (management) , quantum mechanics , programming language
The problem of adaptive asymptotic stabilization of a set for nonlinear convexly parameterized dynamical systems is considered. The main result provides a framework for adaptive input‐to‐output stabilization theory in the presence of disturbances. Copyright © 2008 John Wiley & Sons, Ltd.