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An Intelligent Cooperative Control Architecture

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dc.contributor.author How, Jonathan
dc.contributor.author Choi, Han-Lim
dc.contributor.author Undurti, Aditya
dc.contributor.author Redding, Joshua
dc.date.accessioned 2009-10-07T22:42:26Z
dc.date.available 2009-10-07T22:42:26Z
dc.date.issued 2009-10-07
dc.identifier.uri http://hdl.handle.net/1721.1/49418
dc.description.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 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. en
dc.language.iso en_US en
dc.publisher AIAA en
dc.relation.ispartofseries ACC;2010-Redding
dc.subject multiagent learning en
dc.subject intelligent control en
dc.subject Cooperative Control en
dc.title An Intelligent Cooperative Control Architecture en
dc.type Working Paper en


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MIT-Mirage