Movement variability has become an important field of research and has been studied to
gain a better understanding of the neuro-muscular control of human movements. In addition …

A first-order correction of the exponential divergence of trajectories in state space of a
chaotic time series with noise was proposed. We demonstrated the performance for various …

In this paper, we introduce a robust method for the correlation dimension estimation in an
automatic way for its implementation in on-line condition monitoring of large rotating …

In this paper strong evidence is provided for significant far from equilibrium phase transition
processes in the Earth's magnetosphere as revealed by the nonlinear analysis of in situ …

Experimental data are often very complex since the underlying dynamical system may be
unknown and the data may heavily be corrupted by noise. It is a crucial task to properly …

Bu güne kadar yapılan çalışmalarda, dinamik sistemler doğrusal ve/veya doğrusal olmayan
metotlar kullanılarak incelenmişlerdir. Kararlı doğrusal sistemler için kullanılan doğrusal …

Komplexität scheint eines der zentralen Modeworte der letzten Jahre zu sein. Über vier
Millionen Mal findet sich die Behauptung, dass wir es in verschiedenen Lebensbereichen …

The singular value decomposition (SVD) analysis is used at different stages in this paper in
order to extract useful information concerning the underlying dynamics of the …

In this paper, we study the influence of noise on a mathematical model which contains the
coexistence of chaotic attractors. In particular, application to the case of a coexistence of a …

In this study we present theoretical concepts and results concerning the hypothesis test of
the magnetospheric chaos. For this reason we compare the observational behavior of the …