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Output feedback stabilization for a general class of nonlinear systems via sampled‐data control
Author(s) -
Li Zhanjie,
Zhao Jun
Publication year - 2018
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.4053
Subject(s) - control theory (sociology) , lemma (botany) , nonlinear system , observer (physics) , controller (irrigation) , output feedback , class (philosophy) , stability (learning theory) , mathematics , sampled data systems , computer science , control system , control (management) , engineering , artificial intelligence , poaceae , machine learning , agronomy , biology , ecology , physics , electrical engineering , quantum mechanics
Summary This paper considers global output feedback stabilization via sampled‐data control for a general class of nonlinear systems, which admit unknown control coefficients and nonderivable output function. A sector region of the output function is given by utilizing a technical lemma, and a sampled‐data controller is designed by combining a robust state stabilizer and a reduced‐order sampled‐data observer. By carefully choosing an appropriate sampling period, the proposed controller guarantees the globally asymptotical stability of the closed‐loop systems.