Robust peak-to-peak gain analysis using integral quadratic constraints

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  • University of Stuttgart
  • ETH Zurich
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Original languageEnglish
Pages (from-to)11564-11569
Number of pages6
JournalIFAC-PapersOnLine
Volume56
Issue number2
Early online date22 Nov 2023
Publication statusPublished - 2023
Event22nd IFAC World Congress - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023

Abstract

This work provides a framework to compute an upper bound on the robust peak-to-peak gain of discrete-time uncertain linear systems using integral quadratic constraints (IQCs). Such bounds are of particular interest in the computation of reachable sets and the ℓ1-norm, as well as when safety-critical constraints need to be satisfied pointwise in time. The use of ρ-hard IQCs with a terminal cost enables us to deal with a wide variety of uncertainty classes, for example, we provide ρ-hard IQCs with a terminal cost for the class of parametric uncertainties. This approach unifies, generalizes, and significantly improves state-of-the-art methods, which is also demonstrated in a numerical example.

Keywords

    integral quadratic constraints, peak-to-peak gain, reachable set, Robust control, ℓ-norm

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Cite this

Robust peak-to-peak gain analysis using integral quadratic constraints. / Schwenkel, Lukas; Köhler, Johannes; Müller, Matthias A. et al.
In: IFAC-PapersOnLine, Vol. 56, No. 2, 2023, p. 11564-11569.

Research output: Contribution to journalConference articleResearchpeer review

Schwenkel L, Köhler J, Müller MA, Allgöwer F. Robust peak-to-peak gain analysis using integral quadratic constraints. IFAC-PapersOnLine. 2023;56(2):11564-11569. Epub 2023 Nov 22. doi: 10.48550/arXiv.2211.09434, 10.1016/j.ifacol.2023.10.452
Schwenkel, Lukas ; Köhler, Johannes ; Müller, Matthias A. et al. / Robust peak-to-peak gain analysis using integral quadratic constraints. In: IFAC-PapersOnLine. 2023 ; Vol. 56, No. 2. pp. 11564-11569.
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AU - Köhler, Johannes

AU - Müller, Matthias A.

AU - Allgöwer, Frank

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