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Dual control within MPC framework

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206011" target="_blank" >RIV/68407700:21230/13:00206011 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/B978-0-444-63234-0.50036-1" target="_blank" >http://dx.doi.org/10.1016/B978-0-444-63234-0.50036-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/B978-0-444-63234-0.50036-1" target="_blank" >10.1016/B978-0-444-63234-0.50036-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dual control within MPC framework

  • Original language description

    Model predictive controller (MPC) is a successful in control of the building's environment. The inherent part of the MPC is a system's model which is the bottleneck of this control approach. Data collected for the system identification very often comes from the closed-loop operation which often leads to a failure of classical identification approaches. A new algorithm is presented here when a persistent excitation (PE) condition is incorporated into a control criterion. The controller ensures sufficiently excited data, which makes the system re-identification possible. The algorithm uses the maximization of the minimal eigenvalue of the information matrix to achieve a richer identification data. As a result, the data used for re-identification are sufficiently excited and the estimate of the system parameters is better.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identification of Stochastic, Nonlinear Systems for Advanced Control</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • 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 23rd European Symposium on Computer Aided Process Engineering

  • ISBN

    978-0-444-63234-0

  • ISSN

    1570-7946

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    211-216

  • Publisher name

    Elsevier

  • Place of publication

    Kidlington Oxford OX GB

  • Event location

    Lappeenranta

  • Event date

    Jun 9, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000329495800036