The Experts below are selected from a list of 130527 Experts worldwide ranked by ideXlab platform

E Behrensrommler - One of the best experts on this subject based on the ideXlab platform.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

C. von Altrock - One of the best experts on this subject based on the ideXlab platform.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

Clarice Steffens - One of the best experts on this subject based on the ideXlab platform.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

H.-o. Arend - One of the best experts on this subject based on the ideXlab platform.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

B. Krause - One of the best experts on this subject based on the ideXlab platform.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.

  • adaptive fuzzy Control applied to home heating System
    Fuzzy Sets and Systems, 1994
    Co-Authors: C. von Altrock, H.-o. Arend, B. Krause, Clarice Steffens, E Behrensrommler
    Abstract:

    Abstract To maximize both heating economy and comfort of a private home heating System, fuzzy-logic Control has been used by a German company in a new generation of furnace Controllers. The fuzzy-logic Controller ensures optimal adaptation to changing customer heating demands while using one sensor less than the former generation. Both the fuzzy-logic Controller and the Conventional Control System were implemented on a standard 8-bit microController. The design, optimization and implementation of the fuzzy Controller was supported by the software development System fuzzyTECH.