Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Regret Analysis of Online Gradient Descent-based Iterative Learning
  Control with Model Mismatch   In Iterative Learning Control (ILC), a sequence of feedforward control
actions is generated at each iteration on the basis of partial model knowledge
and past measurements with the goal of steering the system toward a desired
reference trajectory. This is framed here as an online learning task, where the
decision-maker takes sequential decisions by solving a sequence of optimization
problems having only partial knowledge of the cost functions. Having
established this connection, the performance of an online gradient-descent
based scheme using inexact gradient information is analyzed in the setting of
dynamic and static regret, standard measures in online learning. Fundamental
limitations of the scheme and its integration with adaptation mechanisms are
further investigated, followed by numerical simulations on a benchmark ILC
problem.

10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat