Data-driven H-norm estimation via expert advice

G. Rallo, S. Formentin, C.R. Rojas, T.A.E. Oomen, S.M. Savaresi

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

10 Citations (Scopus)
1 Downloads (Pure)


H-norm estimation is usually an important aspect of robust control design. The aim of this paper is to develop a data-driven estimation method exploiting iterative input design, without requiring parametric modeling. More specifically, the estimation problem is formulated as a sequential game, whose solution is derived within the prediction with expert advice framework. The proposed method is shown to be competitive with the state-of-the-art techniques.

Original languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5090-2873-3
Publication statusPublished - 18 Jan 2018
Event56th IEEE Conference on Decision and Control (CDC 2017) - Melbourne, VIC, Australia, Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017
Conference number: 56


Conference56th IEEE Conference on Decision and Control (CDC 2017)
Abbreviated titleCDC 2017
Internet address


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