Title:
Approximate Manipulability of Leader-Follower Networks

dc.contributor.author Kawashima, Hiroaki en_US
dc.contributor.author Egerstedt, Magnus B. en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Kyoto University. Graduate School of Informatics en_US
dc.date.accessioned 2012-02-09T19:19:05Z
dc.date.available 2012-02-09T19:19:05Z
dc.date.issued 2011-12
dc.description © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the 50th IEEE Conference on Decision and Control and European Control Conference, December 12-15, 2011, Orlando, FL, USA. en_US
dc.description.abstract We introduce the notion of manipulability to leader-follower networks as a tool to analyze how effective inputs injected at a leader node are in terms of their impact on the movements of the follower nodes, as a function of the interaction topologies and agent configurations. Classic manipulability is an index used in robotics for analyzing the singularity and efficiency of configurations of robot-arm manipulators. To define similar notions for leader-follower networks, we use a rigid-link approximation of the follower dynamics and under this assumption, we prove that the instantaneous follower velocities can be uniquely determined by that of the leader's, which allows us to define a meaningful manipulability index of the leader-follower networks en_US
dc.identifier.citation H. Kawashima and M. Egerstedt, "Approximate Manipulability of Leader-Follower Networks," IEEE Conference on Decision and Control, Orlando, FL, Dec. 2011. en_US
dc.identifier.issn 0191-2216
dc.identifier.uri http://hdl.handle.net/1853/42397
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Networked control systems en_US
dc.subject Agents and autonomous systems en_US
dc.title Approximate Manipulability of Leader-Follower Networks en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Egerstedt, Magnus B.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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