Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems   This paper presents a methodology for model based robust fault diagnosis and
a methodology for input design to obtain optimal diagnosis of faults. The
proposed algorithm is suitable for real time implementation. Issues of
robustness are addressed for the input design and fault diagnosis
methodologies. The proposed technique allows robust fault diagnosis under
suitable conditions on the system uncertainty. The designed input and fault
diagnosis techniques are illustrated by numerical simulation.

14
The categories of this paper are: math-ph
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc