English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Three state-space based methods were tested in relation to the ability todetect unidirectional coupling and synchronization of interconnected dynamicalsystems. The first method, based on measure named M, was introduced byAndrzejak et al. in 2003 [1]. The second one, based on measure L, was describedin 2009 by Chicharro et al. [5]. The third method, called convergentcross-mapping, came from Sugihara et al., 2012 [28]. The methods were comparedon 9 test examples of uni-directionally connected chaotic systems of H\'enon,R\"ossler and Lorenz type. The tested systems were selected from previouslypublished causality studies. Matlab code for the three methods is provided. Theresults show that each of the three examined state-space methods managed toreveal the presence and the direction of couplings and also to detect the onsetof full synchronization.

Causality studied in reconstructed state space. Examples of uni-directionally connected chaotic systems