MODEL REFERENCE ADAPTIVE CONTROL FOR NONMINIMUM PHASE SYSTEMS

摘要

In this paper we define a new model reference adaptive control problem which allows a large amount of plant uncertainty. Instead of the usual goal of asymptotic error regulation, here we require that the limit superior of the magnitude of the error be less than a predefined constant times the limit superior of the magnitude of the external reference input. This provides a natural way to incorporate uncertainty which includes nonminimum phase systems. [References: 15]