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Algorithms for data-driven H-norm estimation
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0003-0355-2663
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0002-6322-7857
2019 (English)In: DATA-DRIVEN FILTER AND CONTROL DESIGN: Methods and applications / [ed] Carlo Novara and Simone Formentin, IET Digital Library, 2019, p. 145-163Chapter in book (Refereed)
Abstract [en]

In this chapter, the problem of estimating in a model-free manner the H norm of a linear dynamic system is discussed at a tutorial level. Two recently developed methods for addressing this problem are presented, namely the power iterations method and a class of multi-armed bandit (MAB) algorithms. Due to reasons of space, many details are omitted, but references are provided to complement this exposition.

Place, publisher, year, edition, pages
IET Digital Library, 2019. p. 145-163
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Control Engineering
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URN: urn:nbn:se:kth:diva-257879DOI: 10.1049/PBCE123EISBN: 9781785617126 (print)OAI: oai:DiVA.org:kth-257879DiVA, id: diva2:1349120
Note

QC 20190909

Available from: 2019-09-06 Created: 2019-09-06 Last updated: 2019-09-09Bibliographically approved

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Rojas, Cristian R.Müller, Matias I.

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