Enabling Controlling Complex Networks with Local Topological Information.

ABSTRACT: Complex networks characterize the nature of internal/external interactions in real-world systems including social, economic, biological, ecological, and technological networks. Two issues keep as obstacles to fulfilling control of large-scale networks: structural controllability which describes the ability to guide a dynamical system from any initial state to any desired final state in finite time, with a suitable choice of inputs; and optimal control, which is a typical control approach to minimize the cost for driving the network to a predefined state with a given number of control inputs. For large complex networks without global information of network topology, both problems remain essentially open. Here we combine graph theory and control theory for tackling the two problems in one go

SUBMITTER: Li G 

PROVIDER: S-EPMC5854593 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature