On adaptive loop transfer recovery using Kalman filter-based disturbance accommodating control

An adaptive loop transfer recovery (LTR) approach for uncertain systems using the Kalman filter-based disturbance accommodating control scheme is presented. This study shows that the full LTR property of disturbance accommodating control is invariant to system uncertainties and external disturbances acting on the system. Also presented here is an adaptive LTR scheme, where the system process noise intensity matrix is updated online to achieve full LTR. Numerical simulations are presented to verify the superiority of the approach compared to the traditional linear quadratic regulator/LTR.