53rd IEEE Conference on Decision and Control 2014
DOI: 10.1109/cdc.2014.7039964
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Distributed formation tracking control of multiple mobile robotic systems

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Cited by 4 publications
(2 citation statements)
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“…For a COTS glider/AUV there are less control inputs than the numbers of the degree of freedom and control of it is challenging due to its underactuated nature and disturbances such as currents. In [2] the algorithms were presented that will be used for formation control of multiple glider/AUVs with uncertainty. It is assumed that there is parametric uncertainty and non-parametric uncertainty in the model of each glider/AUVs and the information of the leader glider/AUVs is available only to a portion of the follower glider/AUVs.…”
Section: Distributed Kalman Filteringmentioning
confidence: 99%
“…For a COTS glider/AUV there are less control inputs than the numbers of the degree of freedom and control of it is challenging due to its underactuated nature and disturbances such as currents. In [2] the algorithms were presented that will be used for formation control of multiple glider/AUVs with uncertainty. It is assumed that there is parametric uncertainty and non-parametric uncertainty in the model of each glider/AUVs and the information of the leader glider/AUVs is available only to a portion of the follower glider/AUVs.…”
Section: Distributed Kalman Filteringmentioning
confidence: 99%
“…The consensus problem of multi-agent systems has great development with its widespread applications in many domains such as sensory networks [1], unmanned air vehicles [2], and mobile robots [3]. However, the traditional control mechanism has the disadvantage of wasting communication resources because of the continuous or periodic sampling, data transmission, and controller updating.…”
Section: Introductionmentioning
confidence: 99%