Discretization of the Super-Twisting Algorithm Using Variational Integrators

Florian Weissenberger, Lars Watermann, Stefan Koch, Markus Reichhartinger, Christina Hettiger, Lukas Eisenzopf, Kiran Kumari, Johann Reger, Martin Horn

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

In this paper, a new framework for the discretization of the super-twisting algorithm is developed. The proposed discretization scheme is not based on the underlying differential equations, but uses the variational formulation of the problem. Discrete-time versions derived in the proposed fashion exhibit a great tracking of the continuous-time energy decay rate and give a good approximation of the continuous-time system. Furthermore, the paper presents a stability proof for an exemplary algorithm, a semi-implicit version of the super-twisting algorithm derived by using variational integrators.
Original languageEnglish
Title of host publication2022 IEEE 61st Conference on Decision and Control, CDC 2022
Pages4307-4312
Number of pages6
ISBN (Electronic)9781665467612
DOIs
Publication statusPublished - Jan 2023
Event2022 61th IEEE Conference on Decision and Control: CDC 2022 - Cancún, Mexico
Duration: 6 Dec 20229 Dec 2022
Conference number: 61
https://cdc2022.ieeecss.org/

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2022-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference2022 61th IEEE Conference on Decision and Control
Abbreviated titleCDC 2022
Country/TerritoryMexico
CityCancún
Period6/12/229/12/22
Internet address

Keywords

  • Variable-structure/sliding-mode control

ASJC Scopus subject areas

  • Control and Optimization
  • Control and Systems Engineering
  • Modelling and Simulation

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