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Peak Estimation for Uncertain and Switched Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00356727" target="_blank" >RIV/68407700:21230/21:00356727 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CDC45484.2021.9683778" target="_blank" >http://dx.doi.org/10.1109/CDC45484.2021.9683778</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CDC45484.2021.9683778" target="_blank" >10.1109/CDC45484.2021.9683778</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Peak Estimation for Uncertain and Switched Systems

  • Original language description

    Peak estimation bounds extreme values of a function of state along trajectories of a dynamical system. This paper focuses on extending peak estimation to continuous and discrete settings with time-independent and time-dependent uncertainty. Techniques from optimal control are used to incorporate uncertainty into an existing occupation measure-based peak estimation framework, which includes special consideration for handling switching-type (polytopic) uncertainties. The resulting infinite-dimensional linear programs can be solved approximately with Linear Matrix Inequalities arising from the moment-SOS hierarchy.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GJ20-11626Y" target="_blank" >GJ20-11626Y: Koopman operator framework for control of complex nonlinear dynamical systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 60th IEEE Conference on Decision and Control (CDC)

  • ISBN

    978-1-6654-3659-5

  • ISSN

    0743-1546

  • e-ISSN

    2576-2370

  • Number of pages

    7

  • Pages from-to

    3222-3228

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Austin, Texas

  • Event date

    Dec 13, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article