Autori
Francesco Lo Iudice, Franco Garofalo and Pietro De Lellis
Abstract
The complex network paradigm has proven successful in describing very diverse real world systems. This fact has spurred researchers from the control engineering and physics community to study the conditions which ensure complete controllability of these networks. Departing from the idea that real world networks are often too complex to be fully controlled, in this line of research we propose a toolbox of methods which allow maximizing our ability to influence the network behavior given a constraint on the number of nodes where we can inject external inputs.
