A directed weighted complex network for characterizing chaotic dynamics from time series

Model based method for estimating an att

Model based method for estimating an attractor dimension from uni/multivariate chaotic time series with application to Bremen climatic dynamics

✍ M. Ataei; B. Lohmann; A. Khaki-Sedigh; C. Lucas 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 131 KB

In this paper, a method for estimating an attractor embedding dimension based on polynomial models and its application in investigating the dimension of Bremen climatic dynamics are presented. The attractor embedding dimension provides the primary knowledge for analyzing the invariant characteristic