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Multiple Model Switched Repetitive Control

Multiple Model Switched Repetitive Control
Multiple Model Switched Repetitive Control
A multiple model switched repetitive control (RC) framework is developed for a general class of system and widely used RC update structure. This guarantees stability and robust performance under the assumption that the true plant model belongs to a plant uncertainty set specified by the designer. A comprehensive design procedure for the candidate model set and RC update is presented based on novel application of gap metric analysis to RC, and switching of the corresponding RC schemes is achieved efficiently using a bank of Kalman filters.
Freeman, Christopher
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Freeman, Christopher
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Freeman, Christopher (2017) Multiple Model Switched Repetitive Control. IEEE Conference on Decision and Control, Melbourne, Australia. 12 - 15 Dec 2017. (Submitted)

Record type: Conference or Workshop Item (Paper)

Abstract

A multiple model switched repetitive control (RC) framework is developed for a general class of system and widely used RC update structure. This guarantees stability and robust performance under the assumption that the true plant model belongs to a plant uncertainty set specified by the designer. A comprehensive design procedure for the candidate model set and RC update is presented based on novel application of gap metric analysis to RC, and switching of the corresponding RC schemes is achieved efficiently using a bank of Kalman filters.

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More information

Submitted date: 4 January 2017
Venue - Dates: IEEE Conference on Decision and Control, Melbourne, Australia, 2017-12-12 - 2017-12-15
Organisations: EEE

Identifiers

Local EPrints ID: 404308
URI: http://eprints.soton.ac.uk/id/eprint/404308
PURE UUID: eb692ac6-8020-4183-bd60-6f0a9d8ccb38

Catalogue record

Date deposited: 04 Jan 2017 13:41
Last modified: 20 Apr 2020 16:35

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