Recursive membership set estimation for output-error models

In this paper a new formulation of the problem of identification of discrete time linear models in the case of bounded errors is proposed. The bounds of the error at each sampling time are specified over a measurement noise rather than over an equation error. The method provides parameter uncertainty intervals using an on-line procedure.