Adaptive and real-time optimal control for adaptive optics systems

An optimal control method to reject turbulence-induced wavefront distortions in an Adaptive Optics system is discussed. Details of a data-driven control approach are presented where the emphasis is put on the estimation of the optimal predictor of the wavefront disturbance. Several algorithms capable of finding the predictor parameters from the sensor signals are discussed. These algorithms could also track time-varying disturbance characteristics in an adaptive control setting. In a simulation experiment with turbulence data recursive type and batch-wise estimation algorithms are compared.