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Probabilistic fuzzy model for dynamic systems

Probabilistic fuzzy model for dynamic systems

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We present a model, based on a fuzzy relation obtained from fuzzy referential sets on the input and output spaces, for predicting the behaviour of nonlinear dynamic systems. The model can be made to learn from experience, and the computing requirements are modest, making online application feasible. Some numerical results are compared with those of earlier models.

References

    1. 1)
      • The construction and evaluation of fuzzy models, Advances in fuzzy set theory and applications
    2. 2)
      • An identification algorithm in fuzzy relational systems
    3. 3)
      • Fuzzy model identification and self-learning for dynamic systems
    4. 4)
      • , Time series analysis, forecasting and control
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19880607
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