Structured identification for network reconstruction of RC-models

Abstract Resistive–capacitive (RC) networks are used to model various processes in engineering, physics or biology. We consider the problem of recovering network connection structure from measured input–output data. address this as a structured identification one, that is, we assume have state-space system (identified with standard techniques, such subspace methods) and find coordinate transformation puts identified form reveals nodes structure. characterize solution set, set all possible RC-networks can be associated present algorithm show some computational experiments.