Risk-sensitivity conditions for stochastic uncertain model validation

The paper presents sufficient and (under an additional technical assumption) necessary conditions that verify the relevance of given input and output processes to an assumed stochastic uncertain system model subject to an uncertainty constraint. The approach is to establish the existence of an admissible probability model under which dynamics of the proposed stochastic system model are consistent with the given input and measurement processes.