On state variables filters for adaptive system design

An alternative way of using the state variable filters, coupled with the Kalman-Yacubovich lemma or Popov's hyperstability theorem, in the design of model reference adaptive systems is proposed. The improvement over previous designs is the increased flexibility in the selection of the filter parameters to reduce the effects of noise or initial conditions.