Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A simple suboptimal moving horizon estimation scheme with guaranteed
  robust stability   We propose a suboptimal moving horizon estimation (MHE) scheme for a general
class of nonlinear systems. To this end, we consider an MHE formulation that
optimizes over the trajectory of a robustly stable observer. Assuming that the
observer admits a Lyapunov function, we show that this Lyapunov function is an
M-step Lyapunov function for suboptimal MHE. The presented sufficient
conditions can be easily verified in practice. We illustrate the practicability
of the proposed suboptimal MHE scheme with a standard nonlinear benchmark
example. Here, performing a single iteration is sufficient to significantly
improve the observer's estimation results under valid theoretical guarantees.

18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat