Title :
An intelligent Cooperative Control Architecture
Author :
Redding, J. ; Geramifard, A. ; Undurti, A. ; Han-Lim Choi ; How, J.P.
fDate :
June 30 2010-July 2 2010
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;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530666