An L1 adaptive control design for output-feedback sampled-data systems

Hamidreza Jafarnejadsani, Hanmin Lee, Naira Hovakimyan

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

4 Scopus citations

Abstract

This paper proposes an output-feedback control approach for sampled-data MIMO systems with nonlinear uncertainties. Design and analysis of L1 adaptive controllers are extended to sampled-data systems framework. The controller is designed for disturbance and uncertainty compensation. In this paper, a sufficient condition on the sampling time of the digital controller is obtained that ensures stability of the closed-loop system. It is shown that the proposed controller can recover the performance of a continuous-time reference system. A simulation example is provided to show the performance and robustness of the controller in the presence of measurement noise, input delay, and disturbances.

Original languageEnglish
Title of host publication2017 American Control Conference, ACC 2017
Pages5744-5749
Number of pages6
ISBN (Electronic)9781509059928
DOIs
StatePublished - 29 Jun 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: 24 May 201726 May 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2017 American Control Conference, ACC 2017
Country/TerritoryUnited States
CitySeattle
Period24/05/1726/05/17

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