This paper discusses the optimisation of a fuzzy-neural controller based on the paradigm of genetic search. The controller under consideration is a hybrid one which can be interpretated as a Takagi/Sugeno model of fuzzy inference or a basis function network. The discretisation of the search space must be addressed, encoding methods for the fuzzy rulebase and the construction of a fitness evaluation procedure. The developed techniques are applied to the problem of lateral control of an autonomous vehicle based on a linearized time varying model of the vehicle s response to steering inputs. The performance of the control system is measured by a complex cost function combining both passenger comfort and security aspects which is minimised by changing the parameters and structure of a fuzzy-neural contoller.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Genetic-based optimisation of a fuzzy-neural vehicle controller


    Weitere Titelangaben:

    Optimierung einer neuronalen Fuzzy-KFZ-Steuereinrichtung auf der Basis genetischer Algorithmen


    Beteiligte:
    Haas, R. (Autor:in) / Hunt, K.J. (Autor:in)


    Erscheinungsdatum :

    1994


    Format / Umfang :

    13 Seiten, 7 Bilder, 20 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Optimisation of a fuzzy logic traffic signal controller by a multiobjective genetic algorithm

    Anderson, J.M. / Sayers, T.M. / Bell, M.G.H. | Tema Archiv | 1998


    Optimisation of a fuzzy logic traffic signal controller by a multiobjective genetic algorithm

    Anderson, J. M. / Sayers, T. M. / Bell, M. G. H. et al. | British Library Conference Proceedings | 1998


    A genetic fuzzy controller for vehicle automatic steering control

    Cai, L. / Rad, A.B. / Chan, Wai-Lok | Tema Archiv | 2007


    Genetic optimisation of a neural damage locator

    Worden, K. | Online Contents | 2008