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dc.creatorHow, Jonathan-
dc.creatorChoi, Han-Lim-
dc.creatorUndurti, Aditya-
dc.creatorRedding, Joshua-
dc.date2009-10-07T22:42:26Z-
dc.date2009-10-07T22:42:26Z-
dc.date2009-10-07-
dc.date.accessioned2023-04-13T08:50:17Z-
dc.date.available2023-04-13T08:50:17Z-
dc.identifierhttp://hdl.handle.net/1721.1/49418-
dc.identifier.urihttp://lib.yhn.edu.vn/handle/YHN/702-
dc.descriptionThis 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 decentralized 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.-
dc.formatapplication/pdf-
dc.languageen_US-
dc.publisherAIAA-
dc.relationACC;2010-Redding-
dc.subjectmultiagent learning-
dc.subjectintelligent control-
dc.subjectCooperative Control-
dc.titleAn Intelligent Cooperative Control Architecture-
dc.typeWorking Paper-
Appears in CollectionsTài liệu ngoại văn

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