This review addresses a central question in the field of complex systems: given a fluctuating
(in time or space), sequentially measured set of experimental data, how should one analyze …

INTRODUCTION Financial markets may collapse, rainforest can shift to savanna, a person
can become trapped in a depression, and the Gulf Stream can come to a standstill. Such …

When the complete understanding of a complex system is not available, as, eg, for systems
considered in the real world, we need a top-down approach to complexity. In this approach …

When monitoring the dynamics of stochastic systems, such as interacting particles agitated
by thermal noise, disentangling deterministic forces from Brownian motion is challenging …

We apply recent methods in stochastic data analysis for discovering a set of few stochastic
variables that represent the relevant information on a multivariate stochastic system, used as …

This paper presents a nonparametric modeling approach for forecasting stochastic
dynamical systems on low-dimensional manifolds. The key idea is to represent the discrete …

To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …

We introduce a dynamical approach for the determination of power curves for wind turbines
and compare it with two common methods—among them the standard procedure due to IEC …

This article deals with the symmetry breaking of azimuthal thermoacoustic modes in annular
combustors. Using a nominally symmetric annular combustor, we present experimental …

Natural and manmade complex systems are comprised of different elementary units, being
either system components or diverse subsystems as in the case of networked systems …