DocumentCode
2888784
Title
Decentralised Optimal Control for Reconnaissance
Author
Mathews, George M. ; Durrant-Whyte, Hugh F.
Author_Institution
Sydney Univ., Sydney
fYear
2007
fDate
12-14 Feb. 2007
Firstpage
314
Lastpage
319
Abstract
This paper introduces a decentralised negotiation algorithm, where multiple distributed decision makers can propose and refine future decisions to optimise a common team objective function. Based on theoretical convergence results, a practical algorithm is developed. The information requirements of the system, that is, what is each platform required to know, are examined and a scalable cooperative control algorithm proposed. This is applied to the control of a reconnaissance or information gathering task consisting of multiple UAVs.
Keywords
convergence; decentralised control; distributed control; optimal control; decentralised negotiation algorithm; decentralised optimal control; distributed decision makers; information gathering task; information requirements; multiple UAV; objective function; reconnaissance; scalable cooperative control; theoretical convergence; Australia; Control systems; Convergence; Electrical equipment industry; Industrial control; Optimal control; Physics; Reconnaissance; Refining; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Decision and Control, 2007. IDC '07
Conference_Location
Adelaide, Qld.
Print_ISBN
1-4244-0902-0
Electronic_ISBN
1-4244-0902-0
Type
conf
DOI
10.1109/IDC.2007.374569
Filename
4252521
Link To Document