Control of sensory perception using stochastic dynamic programming

Author

Hovland, Geir E. ; McCarragher, Brenan J.

Author_Institution

Dept. of Eng., Australian Nat. Univ., Canberra, ACT, Australia

fYear

1996

fDate

21-22 Nov 1996

Firstpage

196

Lastpage

201

Abstract

A new method for controlling sensory perception is presented. The method is based on stochastic dynamic programming and is set in a discrete event control framework. The method consists of two parts: 1) a dynamic programming (DP) algorithm which evaluates all possible orderings of process monitors; and 2) a real-time sensory perception controller (SPC). The results from the dynamic programming are stored in a lookup table which is used by the SPC. We show how different data fusion methods can be incorporated into the DP model and algorithms without major changes. A case study shows how the SPC increases the average recognition rate while keeping the average monitoring cost low

Keywords

discrete event systems; dynamic programming; real-time systems; sensor fusion; state-space methods; stochastic programming; table lookup; data fusion; discrete event control; lookup table; real-time control; recognition rate; sensory perception control; stochastic dynamic programming; Bandwidth; Control systems; Costs; Councils; Discrete event systems; Dynamic programming; Sensor systems; Stochastic processes; Stochastic systems; Table lookup;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Fusion Symposium, 1996. ADFS '96., First Australian

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3601-1

Type

conf

DOI

10.1109/ADFS.1996.581106

Filename

581106