Exploiting the spatiotemporal correlation in adaptive optics using data-driven H_2-optimal control

Exploiting the spatiotemporal correlation in adaptive optics using data-driven H2-optimal control.

A recently proposed data-driven H2-optimal control approach is demonstrated on a laboratory setup. Most adaptive optics (AO) systems are based on a control law that neglects the temporal evolution of the wavefront. The proposed control approach is able to exploit the spatiotemporal correlation in the wavefront without assuming any form of decoupling. By analyzing the dynamic behavior of the wav...

Data-Driven Optimal Control for Adaptive Optics

Sparse signal recovery exploiting spatiotemporal correlation

of the Dissertation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxii Chapter

Optimal control law for classical and multiconjugate adaptive optics.

Classical adaptive optics (AO) is now a widespread technique for high-resolution imaging with astronomical ground-based telescopes. It generally uses simple and efficient control algorithms. Multiconjugate adaptive optics (MCAO) is a more recent and very promising technique that should extend the corrected field of view. This technique has not yet been experimentally validated, but simulations ...

Optimal $H_2$ Decentralized Control of Cone Causal Spatially Invariant Systems

This paper presents an explicit solution to decentralized control of a class of spatially invariant systems. The problem of optimal H2 decentralized control for cone causal systems is formulated. Using Parseval’s identity, the optimal H2 decentralized control problem is transformed into an infinite number of model matching problems with a specific structure that can be solved efficiently. In ad...