Dealing with plant variations in multi-model unfalsified switching control via adaptive memory selection

Giorgio Battistelli, Edoardo Mosca, Pietro Tesi

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

5 Citations (Scopus)
51 Downloads (Pure)

Abstract

In this paper, a multi-model unfalsified adaptive switching control scheme is proposed for controlling uncertain plants subject to time variations. In the adopted approach, the switching between the candidate controllers is orchestrated according to a hysteresis logic variant wherein the memory length is adaptively selected, on the basis of the exhibited plant I/O behavior, so that past recorded data can be safely discarded. To this end, novel model-based resetting conditions are introduced. The global stability of the resulting switched closed-loop system is guaranteed provided that, at every time instant, a stabilizing candidate controller exists and that the (possibly abrupt) changes in the plant model are infrequent.
Original languageEnglish
Title of host publicationProceedings of the 50th Annual Conference on Decision and Control and European Control Conference (CDC-ECC)
Pages366-371
Number of pages6
ISBN (Electronic)9781612847993
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event50th Annual Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, FL, USA -
Duration: 12-Dec-201115-Dec-2011

Conference

Conference50th Annual Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, FL, USA
Period12/12/201115/12/2011

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