To develop high-performance controllers for adaptive optics (AO) systems, it is essential to
first derive sufficiently accurate state-space models of deformable mirrors (DMs). However, it …

A large variety of optical systems and devices are highly sensitive to temperature variations
and gradients induced by the absorption of thermal energy. Temperature gradients …

Structural, Thermal, and Optical Performance (STOP) analysis is important for understanding
the dynamics and for predicting the performance of a large number of optical systems whose …

We develop a simple and effective control method for accurate control of deformable mirrors
(DMs). For a desired DM surface profile and using batches of observed surface profile data …

In this paper, we investigate the feasibility of using subspace system identification
techniques for estimating transient Structural-Thermal-Optical Performance (STOP) models …

Data-driven modeling and control of temperature dynamics in mechatronics systems and
industrial processes are challenging control engineering problems. This is mainly because …

Stabilization, disturbance rejection, and control of optical beams and optical spots are
ubiquitous problems that are crucial for the development of optical systems for ground and …

In this paper, we investigate the feasibility of using machine learning methods for the
estimation of StructuralThermal-Optical-Performance (STOP) models of reflective optics. We …

We use Machine Learning (ML) and system identification validation approaches to estimate
neural network models of large-scale Deformable Mirrors (DMs) used in Adaptive Optics …

For sufficiently wide ranges of applied control signals (control voltages), MEMS and
piezoelectric Deformable Mirrors (DMs), exhibit nonlinear behavior. The nonlinear behavior …