H_inf optimal sampled-data controller synthesis with generalised disturbance and performance channels

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Abstract

Discrete-time controllers, implemented on digital platforms, are generally used to control continuous-time plants using sampled measurements. In this paper, a tractable sampled-data controller synthesis method is proposed for linear time-invariant plants. The proposed method gives guarantees for stability and performance of the closed-loop system in terms of the ${\mathcal{H}_\infty }$-norm, while taking the effect of sampling explicitly into account. This is done by taking a hybrid systems approach, which allows formulating linear matrix inequalities using the explicit solution to a Riccati differential equation. Furthermore, the sampled-data problem formulation is extended so that continuous-time design techniques like ${\mathcal{H}_\infty }$ loop-shaping can be used in a sampled-data context. To do so, it is essential to consider generalised disturbance and performance channels, where both discrete and continuous signals are weighted using weighting filters. The controller design method is demonstrated on an academic example and on a more practical example of reference tracking of a two-mass-spring-damper system.
Original languageEnglish
Title of host publicationProceedings of the 58th Conference on Decision and Control (CDC2019)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages208-212
Number of pages5
ISBN (Electronic) 978-1-7281-1398-2
DOIs
Publication statusPublished - Dec 2019
Event58th IEEE Conference on Decision and Control (CDC 2019) - Nice, France
Duration: 11 Dec 201913 Dec 2019
https://cdc2019.ieeecss.org/

Conference

Conference58th IEEE Conference on Decision and Control (CDC 2019)
Abbreviated titleCDC 2019
CountryFrance
CityNice
Period11/12/1913/12/19
Internet address

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