Synthesis of Adaptive Gain Robust Output Feedback Controllers for a Class of Lipschitz Nonlinear Systems with Unknown Upper Bound of Uncertainty
Author(s) -
Hidetoshi Oya,
Kojiro Hagino
Publication year - 2012
Publication title -
journal of control science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 18
eISSN - 1687-5257
pISSN - 1687-5249
DOI - 10.1155/2012/902576
Subject(s) - control theory (sociology) , lipschitz continuity , nonlinear system , controller (irrigation) , robust control , output feedback , adaptive control , mathematics , upper and lower bounds , robustness (evolution) , class (philosophy) , computer science , control (management) , physics , mathematical analysis , artificial intelligence , gene , agronomy , biology , biochemistry , chemistry , quantum mechanics
We propose a new adaptive gain robust output feedback controller for a class of the Lipschitz nonlinear systems with unknown upper bound of uncertainty. The proposed adaptive gain robust output feedback controller is designed so as to reduce the effect of uncertainties and Lipschitz nonlinearities. In this paper, we show that sufficient conditions for the existence of the proposed adaptive gain robust output feedback controller are reduced to LMI conditions. Finally, the effectiveness of the proposed robust output feedback controller is demonstrated by numerical simulations
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