Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Combining Convex-Concave Decompositions and Linearization Approaches for
  solving BMIs, with application to Static Output Feedback   A novel optimization method is proposed to minimize a convex function subject
to bilinear matrix inequality (BMI) constraints. The key idea is to decompose
the bilinear mapping as a difference between two positive semidefinite convex
mappings. At each iteration of the algorithm the concave part is linearized,
leading to a convex subproblem.Applications to various output feedback
controller synthesis problems are presented. In these applications the
subproblem in each iteration step can be turned into a convex optimization
problem with linear matrix inequality (LMI) constraints. The performance of the
algorithm has been benchmarked on the data from COMPleib library.

19
The categories of this paper are: eess
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics