Robust identification with mixed time/frequency experiments: consistency and interpolation algorithms

In this paper we present a robust identification framework that combines both frequency and time response experiments. The main result of the paper provides necessary and sufficient conditions for consistency with both sources of experimental data in terms of the solution to a finite dimensional constrained convex optimization problem.