In this paper, a novel model reference robust adaptive H∞ controller is designed, which not only guaranteesasymptotically stability, but also optimizes adaptive H∞ performance by estimating the optimal unknowncontrol parameters. Furthermore, a novel state feedback framework is introduced, which depends on the optimalunknown parameter estimations, to guarantee that the defined cost function is minimized. At the same time, theminimal adaptive H∞ performance index is obtained.
In this paper, a novel model reference robust adaptive H∞ controller is designed, which not only guaranteesasymptotically stability, but also optimizes adaptive H∞ performance by estimating the optimal unknowncontrol parameters. Furthermore, a novel state feedback framework is introduced, which depends on the optimalunknown parameter estimations, to guarantee that the defined cost function is minimized. At the same time, theminimal adaptive H∞ performance index is obtained.