Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A model reference adaptive system approach for nonlinear online
  parameter identification   Dynamical systems, for instance in model predictive control, often contain
unknown parameters, which must be determined during system operation. Online or
on-the-fly parameter identification methods are therefore necessary. The
challenge of online methods is that one must continuously estimate parameters
as experimental data becomes available. The existing techniques in the context
of time-dependent partial differential equations exclude the case where the
system depends nonlinearly on the parameters.Based on a model reference
adaptive system approach, we present an online parameter identification method
for nonlinear infinite-dimensional evolutionary system.

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The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
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The categories of this paper are: eess
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
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The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat