VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Nonparametric statistical modeling of spatiotemporal dynamics based on recorded data
    Mandelj, Simon ; Grabec, Igor ; Govekar, Edvard
    Experimental analysis of spatially extended processes is based on measured data of characteristic dynamic variables in space and time. The basic aim of the analysis is to extract a field evolution ... law from data thus recorded. We present a nonparametric statistical modeling of field evolution, following a state space reconstruction technique. For this purpose a novel state reconstruction is proposed that properly describes chaotic field evolution on short- as well as statistically on long-term basis. From the reconstructed state vectors, deterministic and random parts of field evolution are then approximated by employing a conditional average estimator. The performance of such statistical modeling is demonstrated by predicting simulated stochastic fields, and experimental fields generated by cutting and welding manufacturingprocesses. The results presented indicate that the proposed method of modeling can be successfully utilized for experimental characterization of different stochastic processes.
    Vir: International journal of bifurcation and chaos in applied sciences and engineering. - ISSN 0218-1274 (Letn. 14, št. 6, 2004, str. 2011-2025)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2004
    Jezik - angleški
    COBISS.SI-ID - 7942939

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