The aim of this paper is to describe various types of synchronization phenomena discovered in our earlier studies of dynamics of Cellular Nonlinear Networks composed of locally in...
Antonio Andreescu, Zbigniew Galias, Maciej Ogorzal...
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
— The tasks of entrapping/escorting and patrolling around an autonomous target are presented making use of the multi-robot cluster space control approach. The cluster space contr...
Ignacio Mas, Steven Li, Jose Acain, Christopher Ki...
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...