DocumentCode
3279551
Title
An intelligent Cooperative Control Architecture
Author
Redding, J. ; Geramifard, A. ; Undurti, A. ; Han-Lim Choi ; How, J.P.
fYear
2010
fDate
June 30 2010-July 2 2010
Firstpage
57
Lastpage
62
Abstract
This paper presents an extension of existing cooperative control algorithms that have been developed for multi-UAV applications to utilize real-time observations and/or performance metric(s) in conjunction with learning methods to generate a more intelligent planner response. We approach this issue from a cooperative control perspective and embed elements of feedback control and active learning, resulting in an new intelligent Cooperative Control Architecture (iCCA). We describe this architecture, discuss some of the issues that must be addressed, and present illustrative examples of cooperative control problems where iCCA can be applied effectively.
Keywords
aerospace control; cooperative systems; feedback; intelligent control; learning (artificial intelligence); multi-robot systems; remotely operated vehicles; telerobotics; active learning; feedback control; iCCA; intelligent cooperative control architecture; multi-UAV; Aerodynamics; Aerospace control; Algorithm design and analysis; Communication system control; Error correction; Feedback control; Intelligent control; Learning systems; Robustness; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2010
Conference_Location
Baltimore, MD
ISSN
0743-1619
Print_ISBN
978-1-4244-7426-4
Type
conf
DOI
10.1109/ACC.2010.5530666
Filename
5530666
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