Analysis of barrier function based adaptive sliding mode control in the presence of deterministic noise☆

被引：0
|
作者：
Ovalle, Luis [1 ,2 ]
Gonzalez, Andres [1 ]
Fridman, Leonid [1 ,3 ]
Laghrouche, Salah [4 ]
Obeid, Hussein [5 ]
机构：
[1] Univ Nacl Autonoma Mexico, Fac Ingn, Mexico City 04510, Mexico
[2] TecNM Inst Tecnol Super Lerdo, Ave Tecnol 1555, Ciudad Lerdo 35150, Mexico
[3] Sirius Univ Sci & Technol, Dept Informat Technol & AI, Soci, Russia
[4] Univ Bourgogne Franche Comte UTBM, CNRS, Femto ST UMR, F-90010 Belfort, France
[5] Sultan Qaboos Univ, Mech & Ind Engn Dept, Muscat, Oman
来源：
AUTOMATICA | 2025年 / 171卷
关键词：
Sliding mode control;
D O I：
10.1016/j.automatica.2024.111946
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Barrier function-based adaptive sliding mode control (BFASMC) is analyzed in presence of deterministic measurement noise. It is shown that, considering only boundedness of the measurement noise, it is impossible to select the controller parameters to track some perturbation with unknown bound. Nonetheless, under the assumption of continuity of the noise, the tracking of such a perturbation is possible; however, the barrier function width depends on the bound of the noise. If Lipschitz continuity of the noise is assumed, then it follows that the width of the barrier function can be chosen arbitrarily. (c) 2024 Published by Elsevier Ltd.
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页数：5
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