Most advanced control algorithms in automotive engineering can benefit from fuzzy logic and neurofuzzy techniques. Either by speeding up the development cycle or by rendering functionalities not achieved by other advanced control techniques, fuzzy logic complements conventional control by incorporating engineering 'know-how' in the design process. Typical embedded applications are in the area of ABS, ASR, 4WD/4WS, suspension and powertran control. This paper focusses on the implementational and design issues special to automotive applications. The integration of high-speed fuzzy logic software implementations into existing hardware platforms and the optimization and verification strategies for fuzzy logic systems are discussed with a case study of an anti-skid steering system implemented in a model car at the University of Aachen.


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    Title :

    Fuzzy logic and neurofuzzy technologies in embedded automotive applications


    Additional title:

    Fuzzy-Logik und neuronale Fuzzy-Logik für Anwendungen in der Kraftfahrzeugtechnik


    Contributors:


    Publication date :

    1993


    Size :

    5 Seiten, 7 Bilder, 13 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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