Optimization of detection networks with multiple event structures

Author

Pete, A. ; Pattipati, K.R. ; Kleinman, D.L.

Author_Institution

Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA

Volume

39

Issue

8

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

1702

Lastpage

1707

Abstract

Considers a multilevel hierarchical decision network faced with a distributed binary detection problem with partial information at the individual decisionmaker (DM). The partial information is modeled by different local events at the DMs, and these local events are probabilistically related to one another. Solution to this generalized hypothesis testing problem is obtained using the optimal control approach, where the optimization criterion is the expected decision cost of the network. The impacts of variations in the correlation of events at two communicating nodes on the aggregated expertise of the network and on the overall decision cost are illustrated via a numerical example

Keywords

decision theory; nonlinear control systems; optimal control; optimisation; sensor fusion; aggregated expertise; communicating nodes; detection networks; distributed binary detection problem; expected decision cost; generalized hypothesis testing problem; multilevel hierarchical decision network; multiple event structures; optimal control; optimization criterion; Automatic control; Cost function; Delta modulation; Event detection; Face detection; Optimal control; Robustness; Sensor fusion; Sensor phenomena and characterization; Stability;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.310056

Filename

310056