Nonparametric statistical modeling of spatiotemporal dynamics based on recorded data

International Journal of Bifurcation and Chaos in Applied Sciences and Engineering

Volumn 14, Issue 6, 2004, Pages 2011-2025

  Mandelj, Simon ^a   Grabec, Igor ^a   Govekar, Edvard ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Chaos; Embedding; Experimental characterization; Manufacturing processes; Nonlinear dynamics; Prediction; Spatiotemporal data analysis; State space reconstruction

Indexed keywords

APPROXIMATION THEORY; CHAOS THEORY; DATA REDUCTION; MATHEMATICAL MODELS; RANDOM PROCESSES; STATE SPACE METHODS; STATISTICAL METHODS; VECTORS;

EMBEDDING; EXPERIMENTAL CHARACTERIZATION; MANUFACTURING PROCESSES; PREDICTION; SPATIOTEMPORAL DATA ANALYSIS; STATE SPACE RECONSTRUCTION;

DYNAMICS;

EID: 13844276777     PISSN: 02181274     EISSN: None     Source Type: Journal    
DOI: 10.1142/S021812740401045X     Document Type: Article

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