The paper deals with the problem of reconstructing the tree-like topological structure of a network of linear dynamical systems. A distance function is defined in order to evaluat...
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
Systems biologic studies of gene and protein interaction networks have found that these networks are comprised of `modules' (groups of tightly interconnected nodes). Module i...