Observer-based approach for identification of general complex dynamical networks

This paper addresses the problem that how to identify the topology of complex dynamical networks. In this paper, we use the output variable, to be the feedback in order to identify the topology of a complex dynamical network. The global stability of the observer is analytical proved using the Lyapunov theory to show the asymptotically stable conditions can be achieved. Finally, a numerical simulation is given to show the effectiveness of the suggested approach.