Recently, lots of work investigated the geometry features, synchronization and control of complex dynamical networks provided with certain topology. But in the real life, the exact topology of a network is often uncertain. In this paper, a new approach for approximately identifying the topology of a complex network is proposed based on the state observer design only using a scalar coupling signal. Unlike the other methods assuming that the dynamics of the network can be described by a linear stochastic model, or using states of the nodes to design an adaptive observer, we use the output variable to design a state observer to approximately identify the topology of a complex network and monitor any changes of the topology structure.
['Hao Liu', 'Guoping Jiang', 'Chun-Xia Fan']
State-observer-based approach for identification and monitoring of complex dynamical networks