Ecosystems are complex and sparsely observed making inference and prediction
challenging. Empirical dynamic modelling (EDM) circumvents the need for a parametric …

When I encountered the idea of chaotic behavior in deterministic dynami cal systems, it gave
me both great pause and great relief. The origin of the great relief was work I had done …

In this era, information technology is revolutionizing almost every domain of technology and
society, whereas the 'complexity revolution'is occurring in science at a silent pace. In this …

The definition of climate itself cannot be given without a proper understanding of the key
ideas of long-term behavior of a system, as provided by dynamical systems theory. Hence, it …

In investigations into perception-action systems, variability of observable behavior may be
considered to (a) interfere with inquiry,(b) be neither detrimental nor particularly useful to …

In the milling process, chatter, which results in poor surface quality, dimensional errors,
reduced cutter and machine life, is one of the main limitations on performance. In this paper …

Objective: Synchronization phenomena of epileptic electroencephalography (EEG) have
long been studied. In this study, we aim at investigating the spatial-temporal synchronization …

Electroencephalogram (EEG) signals accumulate the brain's spiking activities using
standardized electrodes placed at the scalp. These cumulative brain signals are chaotic in …

Constructing models from time series with nontrivial dynamics involves the problem of how
to choose the best model from within a class of models, or to choose between competing …

Nonlinear dynamics are basic to the characterization of many physical phenomena
encountered in practice. Typically, we are given a time series of some observable (s) and …