Topology Learning in Radial Dynamical Systems With Unreliable Data
Topology Learning in Radial Dynamical Systems With Unreliable Data
Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data are central to many applications. However, dynamically related data streams originating at different sources are prone to corruption caused by asynchronous time stamps of different streams, packet …