2010
DOI: 10.1016/j.sysconle.2010.03.006
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Rendezvous of multiple mobile agents with preserved network connectivity

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Cited by 266 publications
(181 citation statements)
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“…Therefore, we first divide a long time series into many short overlapping [27]. Therefore, it is not suitable to select a very high threshold to let the network lose the connectivity for the pigeon group.…”
Section: B Multiscale Analysis Of Reciprocal Linksmentioning
confidence: 99%
“…Therefore, we first divide a long time series into many short overlapping [27]. Therefore, it is not suitable to select a very high threshold to let the network lose the connectivity for the pigeon group.…”
Section: B Multiscale Analysis Of Reciprocal Linksmentioning
confidence: 99%
“…Compared to [22,31] where the robust consensus tracking problems were considered and the agent dynamics were restricted to being single or double integrator, this paper considers robust attitude tracking of multiple spacecraft where the attitude dynamics of spacecraft are nonlinear. Additionally, [32,33] considered the rendezvous problem and the adaptive consensus problem for multiple mobile linear agents with preserved network connectivity, which is an interesting topic for the distributed cooperative control of multiple spacecraft. However, it is more challenging and cannot be obtained easily by extending the results in our paper.…”
Section: Resultsmentioning
confidence: 99%
“…The above research results have achieved multi-agent progressive aggregation control, however, the movement state of the next moment in the agent depends on the current moment itself and the neighbor's movement state and without reference to the historical state of the previous moment, based on the researches of Housheng Su [5] and Michael M. Zavlanos et al [6], this paper proposes a new state backtracking aggregation control algorithm that maintains topological connectivity. Each agent keeps the historical information of last time about itself and neighborhood and used as a reference for the motion conditions of the next moment.…”
Section: Introductionmentioning
confidence: 99%