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ReFrESH: A self-adaptation framework to support fault tolerance in field mobile robots

Author:
Yanzhe Cui
,
Voyles, R.M.
,
Lane, J.T.
,
Mahoor, M.H.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/CDC.2014.7039546
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1048913
Keyword(s): Control Lyapunov-Krasovskii Functionals,Input-to-State Stability,Nonlinear Systems,Retarded Functional Differential Equations,Small-Gain Theorem
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    ReFrESH: A self-adaptation framework to support fault tolerance in field mobile robots

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contributor authorYanzhe Cui
contributor authorVoyles, R.M.
contributor authorLane, J.T.
contributor authorMahoor, M.H.
date accessioned2020-03-12T21:25:47Z
date available2020-03-12T21:25:47Z
date issued2014
identifier other6942765.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1048913?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleReFrESH: A self-adaptation framework to support fault tolerance in field mobile robots
typeConference Paper
contenttypeMetadata Only
identifier padid8178436
subject keywordsControl Lyapunov-Krasovskii Functionals
subject keywordsInput-to-State Stability
subject keywordsNonlinear Systems
subject keywordsRetarded Functional Differential Equations
subject keywordsSmall-Gain Theorem
identifier doi10.1109/CDC.2014.7039546
journal titlentelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
filesize1465843
citations0
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