On adaptive sliding mode control without a priori bounded uncertainty

Journal Article (2020)
Author(s)

Spandan Roy (International Institute of Information Technology, TU Delft - Ship Design, Production and Operations)

S. Baldi (Southeast University, TU Delft - Team Bart De Schutter)

Leonid M. Fridman (Universidad Nacional Autónoma de México)

Research Group
Team Bart De Schutter
Copyright
© 2020 S. Roy, S. Baldi, Leonid M. Fridman
DOI related publication
https://doi.org/10.1016/j.automatica.2019.108650
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 S. Roy, S. Baldi, Leonid M. Fridman
Research Group
Team Bart De Schutter
Volume number
111
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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.

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