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Combined H-infinity linear parameter varying control design and optimal sensor/actuator selection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00339649" target="_blank" >RIV/68407700:21230/19:00339649 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Combined H-infinity linear parameter varying control design and optimal sensor/actuator selection

  • Original language description

    This paper presents an approach to combine H-infinity dynamic output feedback controller design for linear parameter-varying (LPV) systems with optimal selection of sensors and actuators. This concurrent design problem is formulated as a Mixed Boolean Semi-Definite Programming (MBSDP) optimization problem. By means of the Big-M reformulation, the boolean decision variables related to the selection of sensors and actuators are decoupled from the SDP problem underlying the H-infinity controller synthesis. This reformulation allows us to solve the initial NP-hard problem using a Branch and Bound (BNB) algorithm. The concurrent design of an LPV vibration controller and optimal actuator selection for a smart composite plate serves as a case study to validate the developed approach.

  • 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

    2019

  • 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 18th European Control Conference

  • ISBN

    978-3-907144-00-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    3310-3315

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, NJ

  • Event location

    Naples

  • Event date

    Jun 25, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000490488303055