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Fast finite‐time adaptive event‐triggered tracking for uncertain nonlinear systems.

Authors :
Sun, Zong‐Yao
Zhou, Chao
Liu, Zhen‐Guo
Meng, Qinghua
Source :
International Journal of Robust & Nonlinear Control; 11/25/2020, Vol. 30 Issue 17, p7806-7821, 16p
Publication Year :
2020

Abstract

Summary: This article investigates the fast finite‐time adaptive tracking control via event‐triggered mechanism for a class of high‐order uncertain nonlinear systems. An adaptive tracking controller is constructed for the first time by utilizing a new fast finite‐time performance function and a serial of transformations equipped with a barrier function and event‐triggering rules, which guarantees that the tracking error is restricted in a time‐varying prescribed region and converges to an arbitrarily small constant in a faster speed compared with some traditional finite‐time control strategies. A remarkable feature of this article is to avoid Zeno phenomenon without taking a derivative with respect to the absolute value of the event‐triggered error which may not be differentiable at some discrete points. Finally, a simulation example is provided to verify the feasibility and effectiveness of theoretical results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10498923
Volume :
30
Issue :
17
Database :
Complementary Index
Journal :
International Journal of Robust & Nonlinear Control
Publication Type :
Academic Journal
Accession number :
146471489
Full Text :
https://doi.org/10.1002/rnc.5196