Finite-Time Synchronization of Complex Networks With Privacy-Preserving
Yuhua Xu, Qingwu Gao, Chengrong Xie, Xin Zhang, Xiaoqun Wu
Abstract
As a security issue, privacy protection has been widely valued in the security field. Based on privacy protection, this brief discusses the finite-time (FnT) synchronization of complex networks. Firstly, the FnT convergence theorem for dynamical systems is discussed. Secondly, FnT privacy protection function (PPF) is designed, the main idea of this method is to propose a FnT privacy protection function which can cover up the real state of the controlled complex network, that is, in a FnT, instead of transmitting their actual state values, the controlled network acts on the values of the design function. The designed function is continuous time-varying functions that converge to the true state in FnT. Finally, simulations mean that the proposed design method is effective.