Robust model reference adaptive control algorithm for a class of plants with bounded input disturbances

The effective application of the variable structure approach to model reference adaptive control using only input and output measurements is investigated. The controller, which is robust with respect to a class of bounded-input-disturbance plants with a relative degree of one, ensures convergence of the tracking error always to zero. It is not necessary to assume persistency of excitation.