Explicit Euler Discretization of an Indirect Adaptive Sliding Mode Control

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

*Corresponding author for this work

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

Abstract

In this paper, an explicit Euler discretization scheme is used to obtain a discrete-time version of the indirect adaptive sliding mode control for an uncertain scalar linear system with an unknown parameter. The unknown parameter is linear in the state, the input disturbance is assumed to be bounded. An improper discretization of indirect adaptive sliding mode algorithms may lead to unbounded parameter estimates, which then result in an unbounded state. We modify the algorithm by using a priori knowledge of the location of the unknown parameter such that boundedness of the trajectory can be guaranteed. This entails obtaining a stabilizing condition on the sampling interval and calculating the bound of the state trajectory. The proposed discretization is illustrated by simulation results of an academic scalar system.
Original languageEnglish
Title of host publication2022 16th International Workshop on Variable Structure Systems, VSS 2022
PublisherInstitute of Electrical and Electronics Engineers
Pages278-283
Number of pages6
ISBN (Electronic)9781665463591
DOIs
Publication statusPublished - 2022
Event16th International Workshop on Variable Structure Systems and Sliding Mode Control: VSS 2022 - Rio de Janeiro, Brazil
Duration: 11 Sept 202214 Sept 2022

Publication series

NameProceedings of IEEE International Workshop on Variable Structure Systems
Volume2022-September
ISSN (Print)2165-4816
ISSN (Electronic)2165-4824

Conference

Conference16th International Workshop on Variable Structure Systems and Sliding Mode Control
Abbreviated titleVSS 2022
Country/TerritoryBrazil
CityRio de Janeiro
Period11/09/2214/09/22

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Fields of Expertise

  • Information, Communication & Computing

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