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IMPROVED IDENTIFICATION OF ENGINE PREDICTIVE MODELS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F17%3A00318343" target="_blank" >RIV/68407700:21220/17:00318343 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    IMPROVED IDENTIFICATION OF ENGINE PREDICTIVE MODELS

  • Original language description

    The paper is focused on optimization of combustion engine predictive model identification procedure. The training input signal is generated during simulation of vehicle driving cycle instead of random signal. The predictive model precision is higher for typical engine speed and load which improve the whole predictive control system quality.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20302 - Applied mechanics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    KOKA 2017 - XLVIII. mezinárodní vědecká konference českých a slovenských univerzít a institucí zybývajících se výzkumen motorových vozidel a spalovacích motorů

  • ISBN

    978-80-7494-354-6

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    103-110

  • Publisher name

    Technická univerzita v Liberci

  • Place of publication

    Liberec

  • Event location

    Hradiště nad Jizerou

  • Event date

    Sep 11, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article