Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The self-learning AI controller for adaptive power beaming with
  fiber-array laser transmitter system   In this study we consider adaptive power beaming with fiber-array laser
transmitter system in presence of atmospheric turbulence. For optimization of
power transition through the atmosphere fiber-array is traditionally controlled
by stochastic parallel gradient descent (SPGD) algorithm where control feedback
is provided via radio frequency link by an optical-to-electrical power
conversion sensor, attached to a cooperative target. The SPGD algorithm
continuously and randomly perturbs voltages applied to fiber-array phase
shifters and fiber tip positioners in order to maximize sensor signal, i.e.
uses, so-called, "blind" optimization principle.
  In opposite to this approach a perspective artificially intelligent (AI)
control systems for synthesis of optimal control can utilize various pupil- or
target-plane data available for the analysis including wavefront sensor data,
photo-voltaic array (PVA) data, other optical or atmospheric parameters, and
potentially can eliminate well-known drawbacks of SPGD-based controllers. In
this study an optimal control is synthesized by a deep neural network (DNN)
using target-plane PVA sensor data as its input. A DNN training is occurred
online in sync with control system operation and is performed by applying of
small perturbations to DNN's outputs. This approach does not require initial
DNN's pre-training as well as guarantees optimization of system performance in
time. All theoretical results are verified by numerical experiments.

21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom