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Peak Time-Windowed Mean Estimation using Convex Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00382534" target="_blank" >RIV/68407700:21230/24:00382534 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/CDC56724.2024.10885882" target="_blank" >https://doi.org/10.1109/CDC56724.2024.10885882</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CDC56724.2024.10885882" target="_blank" >10.1109/CDC56724.2024.10885882</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Peak Time-Windowed Mean Estimation using Convex Optimization

  • Original language description

    This paper presents an algorithmic approach towards bounding the peak time-windowed average value attained by a state function along trajectories of a dynamical system. An example includes the maximum average current flowing across a power line in any 5 -minute window. The peak time-windowed mean estimation task may be posed as a finite-dimensional but nonconvex optimization problem in terms of an initial condition and stopping time. This problem can be lifted into an infinite-dimensional linear program in occupation measures, where no conservatism is introduced under compactness and dynamical regularity assumptions. The peak time-windowed mean estimation linear program is in turn truncated into a convergent sequence of semidefinite programs using the moment-Sum-of-Squares hierarchy. Bounds of the time-windowed mean are computed for example systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • 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 63rd IEEE Conference on Decision and Control

  • ISBN

    979-8-3503-1633-9

  • ISSN

    0743-1546

  • e-ISSN

    2576-2370

  • Number of pages

    6

  • Pages from-to

    703-708

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Milan Convention Centre

  • Event date

    Dec 16, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article