Abstract
This paper presents an algorithm for adaptively controlling a single-input, single-output process admitting an n -dimensional, minimum-phase linear model of relative degree n * , with unknown parameters. A priori knowledge of the sign of the model's high frequency gain is not required, and a sufficiently rich probing signal is not needed for stabilization.