Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Sequential Learning Algorithm for Probabilistically Robust Controller
  Tuning   We introduce a sequential learning algorithm to address a robust controller
tuning problem, which in effect, finds (with high probability) a candidate
solution satisfying the internal performance constraint to a chance-constrained
program which has black-box functions. The algorithm leverages ideas from the
areas of randomised algorithms and ordinal optimisation, and also draws
comparisons with the scenario approach; these have all been previously applied
to finding approximate solutions for difficult design problems. By exploiting
statistical correlations through black-box sampling, we formally prove that our
algorithm yields a controller meeting the prescribed probabilistic performance
specification. Additionally, we characterise the computational requirement of
the algorithm with a probabilistic lower bound on the algorithm's stopping
time. To validate our work, the algorithm is then demonstrated for tuning model
predictive controllers on a diesel engine air-path across a fleet of vehicles.
The algorithm successfully tuned a single controller to meet a desired tracking
error performance, even in the presence of the plant uncertainty inherent
across the fleet. Moreover, the algorithm was shown to exhibit a sample
complexity comparable to the scenario approach.

27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
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The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph