Standard

On adaptive sliding mode control without a priori bounded uncertainty. / Roy, Spandan; Baldi, Simone; Fridman, Leonid M.

In: Automatica, Vol. 111, 108650, 2020.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

Roy, Spandan ; Baldi, Simone ; Fridman, Leonid M. / On adaptive sliding mode control without a priori bounded uncertainty. In: Automatica. 2020 ; Vol. 111.

BibTeX

@article{2c954a74c2424721990b6950d8029858,
title = "On adaptive sliding mode control without a priori bounded uncertainty",
abstract = "Adaptive Sliding Mode Control (ASMC) aims to adapt the switching gain in such a way to cope with possibly unknown uncertainty. In state-of-the-art ASMC methods, a priori boundedness of the uncertainty is crucial to ensure boundedness for the switching gain and uniformly ultimately boundedness. A priori bounded uncertainty might impose a priori bounds on the system state before obtaining closed-loop stability. A design removing this assumption is still missing in literature. A positive answer to this quest is given by this note where a novel ASMC methodology is proposed which does not require a priori bounded uncertainty. An illustrative example is presented to highlight the main features of the approach, after which a general class of Euler–Lagrange systems is taken as a case study to show the applicability of the proposed design.",
keywords = "Adaptive sliding mode, Euler–Lagrange systems, Switching gain, Uncertainty",
author = "Spandan Roy and Simone Baldi and Fridman, {Leonid M.}",
note = "Accepted Author Manuscript",
year = "2020",
doi = "10.1016/j.automatica.2019.108650",
language = "English",
volume = "111",
journal = "Automatica",
issn = "0005-1098",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - On adaptive sliding mode control without a priori bounded uncertainty

AU - Roy, Spandan

AU - Baldi, Simone

AU - Fridman, Leonid M.

N1 - Accepted Author Manuscript

PY - 2020

Y1 - 2020

N2 - Adaptive Sliding Mode Control (ASMC) aims to adapt the switching gain in such a way to cope with possibly unknown uncertainty. In state-of-the-art ASMC methods, a priori boundedness of the uncertainty is crucial to ensure boundedness for the switching gain and uniformly ultimately boundedness. A priori bounded uncertainty might impose a priori bounds on the system state before obtaining closed-loop stability. A design removing this assumption is still missing in literature. A positive answer to this quest is given by this note where a novel ASMC methodology is proposed which does not require a priori bounded uncertainty. An illustrative example is presented to highlight the main features of the approach, after which a general class of Euler–Lagrange systems is taken as a case study to show the applicability of the proposed design.

AB - Adaptive Sliding Mode Control (ASMC) aims to adapt the switching gain in such a way to cope with possibly unknown uncertainty. In state-of-the-art ASMC methods, a priori boundedness of the uncertainty is crucial to ensure boundedness for the switching gain and uniformly ultimately boundedness. A priori bounded uncertainty might impose a priori bounds on the system state before obtaining closed-loop stability. A design removing this assumption is still missing in literature. A positive answer to this quest is given by this note where a novel ASMC methodology is proposed which does not require a priori bounded uncertainty. An illustrative example is presented to highlight the main features of the approach, after which a general class of Euler–Lagrange systems is taken as a case study to show the applicability of the proposed design.

KW - Adaptive sliding mode

KW - Euler–Lagrange systems

KW - Switching gain

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85074424589&partnerID=8YFLogxK

U2 - 10.1016/j.automatica.2019.108650

DO - 10.1016/j.automatica.2019.108650

M3 - Article

VL - 111

JO - Automatica

T2 - Automatica

JF - Automatica

SN - 0005-1098

M1 - 108650

ER -

ID: 66544897