Decentralized topology identification of complex networks with sensor random delays and disturbances

A topology identification scheme based on decentralized control architecture is proposed for a complex network with sensor random delays and disturbances. Each node uses the information transmitted from its neighboring nodes to establish the adaptive observers which can correctly identify the links between it and its neighboring nodes. The information is not needed to be exchange between the nodes and its neighboring ones in the adaptive observer so that the disadvantages induced by the communications of the observer are avoided including time delays and disturbances. The proposed scheme can be extended to the other complex networks such as time-delayed network and nominal network. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed topology identification scheme.