Control for bounded pseudo ARMAX stochastic systems via linear B-spline approximations

H. Wang, R. Rayyaan, W R Kennon

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Abstract

    Following the recently developed algorithms for the control of the shape of the output probability density function for general dynamic stochastic systems ([2]-[3]), this short paper presents the modelling and control algorithms for pseudo ARMAX systems, where different from all the existing ARMAX systems the considered system is subjected to any arbitrary bounded random input and the purpose of the control input design is to make the output probability density function of the system output as close as possible to a given distribution function. At first, the relationship between the input noise distribution and the output distribution is established. This is then followed by the description on the control algorithm design.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control|Proc IEEE Conf Decis Control
    Pages3369-3374
    Number of pages5
    Volume4
    Publication statusPublished - 2000
    Event39th IEEE Confernce on Decision and Control - Sydney, NSW
    Duration: 1 Jul 2000 → …

    Conference

    Conference39th IEEE Confernce on Decision and Control
    CitySydney, NSW
    Period1/07/00 → …

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