A Model Reference Adaptive Continuous Sliding-Mode Control

Roberto Franco, Hector Rios, Alejandra Ferreira De Loza

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

Abstract

This paper deals with the problem of robust tracking for a class of scalar linear systems. To this aim, a nonlinear control law is proposed based on a Model Reference Adaptive Continuous Sliding-Mode Control (MRA Continuous-SMC) approach. Such an approach is composed of nonlinear adaptive gains that provide a rate of convergence faster than exponential and ensure convergence to zero of the tracking error. The corresponding convergence proofs are based on a Lyapunov function approach. Finally, some simulation results show the feasibility of the proposed scheme.

Original languageEnglish
Title of host publication2019 IEEE 58th Conference on Decision and Control, CDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-101
Number of pages6
ISBN (Electronic)9781728113982
DOIs
StatePublished - Dec 2019
Event58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France
Duration: 11 Dec 201913 Dec 2019

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2019-December
ISSN (Print)0743-1546

Conference

Conference58th IEEE Conference on Decision and Control, CDC 2019
Country/TerritoryFrance
CityNice
Period11/12/1913/12/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Adaptive Control
  • Linear Systems
  • Sliding-Modes

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