Abstract
We present a modeling scheme for multivariate hybrid dynamical systems. From given time series embedded in appropriate state spaces we predict future outputs by making local linear fits in the neighbourhood of the actual state vectors. In particular, the proposed algorithm can be used online. Thus the quality of the forecast is improved by enclosing new measured data.
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© 1996 Springer-Verlag Berlin Heidelberg
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Hoffmann, I., Klatt, KU. (1996). Modeling hybrid dynamical systems. In: Alur, R., Henzinger, T.A., Sontag, E.D. (eds) Hybrid Systems III. HS 1995. Lecture Notes in Computer Science, vol 1066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020963
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DOI: https://doi.org/10.1007/BFb0020963
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