Optimizing target nodes selection for the control energy of directed complex networks.

ABSTRACT: The energy needed in controlling a complex network is a problem of practical importance. Recent works have focused on the reduction of control energy either via strategic placement of driver nodes, or by decreasing the cardinality of nodes to be controlled. However, optimizing control energy with respect to target nodes selection has yet been considered. In this work, we propose an iterative method based on Stiefel manifold optimization of selectable target node matrix to reduce control energy. We derive the matrix derivative gradient needed for the search algorithm in a general way, and search for target nodes which result in reduced control energy, assuming that driver nodes placement is fixed. Our findings reveal that the control energy is optimal when the path distances from driver nod

SUBMITTER: Chen H 

PROVIDER: S-EPMC7581767 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature