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Modifications of Optimization Algorithms Applied in Multivariable Predictive Control

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F18%3AA1901XTP" target="_blank" >RIV/61988987:17450/18:A1901XTP - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/70883521:28140/18:63520139

  • Výsledek na webu

    <a href="http://wseas.org/wseas/cms.action?id=18776" target="_blank" >http://wseas.org/wseas/cms.action?id=18776</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Modifications of Optimization Algorithms Applied in Multivariable Predictive Control

  • Popis výsledku v původním jazyce

    Non-linear optimization, particularly quadratic programming (QP), is a mathematical method which is widely applicable in model predictive control (MPC). It is significantly important if constraints of variables are considered in MPC and the optimization task is then computationally demanding. The result of the optimization is a vector of future increments of a manipulated variable. The first element of this vector is applied in the next sampling period of MPC in the framework of a receding horizon strategy. In practical realization of a multivariable MPC, the optimization is characterized by higher computational complexity. Therefore, reduction of the computational complexity of the optimization methods has been widely researched. Besides the generally used numerical Hildreth?s method of QP, a possible suitable modification is based on precomputing operations proposed by Wang, L. This general optimization strategy is further modified. Two modifications, which could be applied separately each, were interconnected in this paper. The first modification was published previously; however, its application can be more efficient in connection with the second proposed approach, which modifies precomputing operations. Decreasing of the computational complexity of the optimization by using of the proposal is discussed and analyzed by measurements of floating point operations and control quality criterions using hypotheses tests - paired T-test and Wilcoxon test.

  • Název v anglickém jazyce

    Modifications of Optimization Algorithms Applied in Multivariable Predictive Control

  • Popis výsledku anglicky

    Non-linear optimization, particularly quadratic programming (QP), is a mathematical method which is widely applicable in model predictive control (MPC). It is significantly important if constraints of variables are considered in MPC and the optimization task is then computationally demanding. The result of the optimization is a vector of future increments of a manipulated variable. The first element of this vector is applied in the next sampling period of MPC in the framework of a receding horizon strategy. In practical realization of a multivariable MPC, the optimization is characterized by higher computational complexity. Therefore, reduction of the computational complexity of the optimization methods has been widely researched. Besides the generally used numerical Hildreth?s method of QP, a possible suitable modification is based on precomputing operations proposed by Wang, L. This general optimization strategy is further modified. Two modifications, which could be applied separately each, were interconnected in this paper. The first modification was published previously; however, its application can be more efficient in connection with the second proposed approach, which modifies precomputing operations. Decreasing of the computational complexity of the optimization by using of the proposal is discussed and analyzed by measurements of floating point operations and control quality criterions using hypotheses tests - paired T-test and Wilcoxon test.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    20205 - Automation and control systems

Návaznosti výsledku

  • Projekt

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    WSEAS Transactions on Systems and Control

  • ISSN

    1991-8763

  • e-ISSN

    2224-2856

  • Svazek periodika

    13

  • Číslo periodika v rámci svazku

    December

  • Stát vydavatele periodika

    GR - Řecká republika

  • Počet stran výsledku

    9

  • Strana od-do

    497-505

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-85061282662