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Adaptive predefined‐time quantized tracking control for switched nonlinear systems using command‐filter backstepping.

Authors :
Su, Lei
Jin, Ling
Wang, Jing
Shen, Hao
Source :
International Journal of Robust & Nonlinear Control. 9/10/2024, Vol. 34 Issue 13, p9040-9054. 15p.
Publication Year :
2024

Abstract

This article investigates the command‐filter‐based improved predefined‐time tracking control problem for a class of switched nonlinear systems with the quantized input signal. Essentially different from most tracking control works of switched nonlinear systems under input quantization, the nonlinear decomposition method is employed to tackle the obstacles from the predefined‐time controller design. Subsequently, to achieve more faster convergence times, an improved predefined‐time lemma is designed, and for subsequent simulation work, the designed lemma is coupled with a quantizer. Furthermore, to tackle the problem of complexity explosion encountered during the iterative process of backstepping, the command filter is adopted. Finally, two examples are employed to demonstrate the effectiveness of the established results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10498923
Volume :
34
Issue :
13
Database :
Academic Search Index
Journal :
International Journal of Robust & Nonlinear Control
Publication Type :
Academic Journal
Accession number :
178973659
Full Text :
https://doi.org/10.1002/rnc.7426