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Sampled‐data control of a class of uncertain switched nonlinear systems in nonstrict‐feedback form
Author(s) -
Mao Jun,
Guo Jian,
Xiang Zhengrong
Publication year - 2017
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.3907
Subject(s) - control theory (sociology) , discretization , controller (irrigation) , nonlinear system , observer (physics) , output feedback , computer science , sampling (signal processing) , sampled data systems , class (philosophy) , control (management) , mathematics , control system , engineering , artificial intelligence , mathematical analysis , physics , electrical engineering , filter (signal processing) , quantum mechanics , agronomy , computer vision , biology
Summary This paper investigates the stabilization problem of sampled‐data output feedback for a class of uncertain switched nonlinear systems in nonstrict‐feedback form. An observer is designed to estimate the unmeasured states, and a sampled‐data controller is obtained by discretizing the virtual controller that is constructed via the dynamic surface control method. It is proved that the designed sampled‐data controller can render all states of the resulting closed‐loop system to converge to a neighborhood of the origin for the arbitrary switching signal, and an allowable sampling period is also given. Finally, 2 examples are presented to illustrate the effectiveness of the proposed method.