New Progress on Structure Identification of Complex Dynamical Networks
Jun-an Lu · Fuza xitong yu fuzaxing kexue · 2010
Nowadays,structure identification of complex dynamical networks is an important topic in the research field of complex networks.The paper introduces a method based on the synchronization theory to identify uncertain systems'parameters and unknown topological structures of complex dynamical networks.It also points out that time series of nodes'dynamics are not sufficient for a correct identifying result.It is necessary for the group of functions obtained by inner coupling mappings to satisfy linear independence on the synchronized manifold.Furthermore,key factors that obstruct the structure identification are analyzed.And some newest progress on this issue is introduced,which includes some related work of our group.