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Such a tool would represent a significant advance in the understanding of complex dynamical systems with nonlinearities.
In the ongoing race between growth of empirical data sets and growth of available computing power, conceptual understanding of complex dynamical systems can get left behind.
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Cluster synchronization of complex dynamical networks with fractional-order dynamical nodes is discussed in the Letter.
The field involves designing and analyzing feedback and the behavior of complex, dynamical systems.
More broadly, the study reveals the potential of combining deliberately generated data with data-driven modelling to predict the behaviour of complex dynamical systems.
This work highlights the promise of combining deliberate data generation with data-driven modelling to predict the behaviour of complex dynamical systems.
This paper studies the synchronization problem of complex dynamical networks (CDNs) on time scales.
The pinning synchronization in two types of complex dynamical networks are studied in this paper.
The new approach is illustrated by examples of complex dynamical systems: chaos control and synchronization.
The observer design involves no resolution of complex dynamical or algebraic equation.
Organization and function of complex dynamical networks, especially genetic regulatory networks;.
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