Online Tuning of Retinal Imaging Adaptive Optics Systems

This brief addresses the problem of adaptive regulation in retinal imaging adaptive optics systems against the unknown and time-varying aberrations present in the eye. The proposed controller design approach relies on two steps. The first step is to construct a -parameterized set of stabilizing controllers for the multi-input multi-output system under consideration and to derive conditions on the parameter in the controller expression to achieve regulation. Partial diagonal decoupling of the closed-loop system dynamics is performed to facilitate the development of the adaptive regulator. Since the eye´s aberrations are unknown and time-varying, the second step is to derive an online tuning algorithm for the parameter in the expression for the parameterized stabilizing controller. The online tuning of the parameter allows the controller to converge to the controller needed to achieve regulation, hence compensating for the lack of information on the eye´s aberrations. The partial decoupling introduced in the closed loop system allows the tuning to be performed using decentralized adaptation algorithms. Experimental results are presented to validate the proposed regulation approach.