Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Characterizing the Nonlinearity of Power System Generator Models   Power system dynamics are naturally nonlinear. The nonlinearity stems from
power flows, generator dynamics, and electromagnetic transients. Characterizing
the nonlinearity of the dynamical power system model is useful for designing
superior estimation and control methods, providing better situational awareness
and system stability. In this paper, we consider the synchronous generator
model with a phasor measurement unit (PMU) that is installed at the terminal
bus of the generator. The corresponding nonlinear process-measurement model is
shown to be locally Lipschitz, i.e., the dynamics are limited in how fast they
can evolve in an arbitrary compact region of the state-space. We then
investigate different methods to compute Lipschitz constants for this model,
which is vital for performing dynamic state estimation (DSE) or state-feedback
control using Lyapunov theory. In particular, we compare a derived analytical
bound with numerical methods based on low discrepancy sampling algorithms.
Applications of the computed bounds to dynamic state estimation are showcased.
The paper is concluded with numerical tests.

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The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin