Abstract
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 language | English |
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Title of host publication | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1560-1565 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5090-2873-3 |
DOIs | |
Publication status | Published - 18 Jan 2018 |
Event | 56th IEEE Conference on Decision and Control (CDC 2017) - Melbourne, VIC, Australia, Melbourne, Australia Duration: 12 Dec 2017 → 15 Dec 2017 Conference number: 56 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407 |
Conference
Conference | 56th IEEE Conference on Decision and Control (CDC 2017) |
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Abbreviated title | CDC 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 12/12/17 → 15/12/17 |
Internet address |