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Distributed output‐feedback finite‐time tracking control of nonaffine nonlinear leader‐follower multiagent systems
Author(s) -
Chen Gang,
Xiang Hongbing,
Dai Jiahua
Publication year - 2020
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.4916
Subject(s) - control theory (sociology) , affine transformation , observer (physics) , nonlinear system , tracking (education) , computer science , filter (signal processing) , artificial neural network , control (management) , mathematics , artificial intelligence , psychology , pedagogy , physics , quantum mechanics , pure mathematics , computer vision
Summary The distributed output‐feedback tracking control for a class of networked multiagents in nonaffine pure‐feedback form is investigated in this article. By introducing a low‐pass filter and some auxiliary variables, we first transform the nonaffine system into the affine form. Then, the finite‐time observer is designed to estimate the states of the newly derived affine system. By applying the fraction dynamic surface control approach and the neural network‐based approximation technique, the distributed output‐feedback control laws are proposed and it is proved that the tracking errors converge to an arbitrarily small bound around zero in finite time. Finally, some simulation examples are provided to confirm the effectiveness of the developed method.