2022
DOI: 10.1109/tcst.2021.3062824
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Formation Control With Time-Varying Formations, Bounded Controls, and Local Collision Avoidance

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Cited by 30 publications
(7 citation statements)
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“…Remark 1: From ( 8), ( 9) and (10), it can be seen that only the neighborhood agents' information is needed, and thus the proposed method is fully distributed rather than centralized control. In addition, the existing NSB control methods in [16]- [19] only considered the time-invariant formation, and the coordination between followers was ignored.…”
Section: A Desired Trajectory Generationmentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 1: From ( 8), ( 9) and (10), it can be seen that only the neighborhood agents' information is needed, and thus the proposed method is fully distributed rather than centralized control. In addition, the existing NSB control methods in [16]- [19] only considered the time-invariant formation, and the coordination between followers was ignored.…”
Section: A Desired Trajectory Generationmentioning
confidence: 99%
“…However, the high computational amount of the MPC approach is still a problem for distributed MASs with limited resources. The APF approach is that, when an agent enters the potential field of another agent, it will be subject to a repulsive force so as to increase the distance between them [8]- [10]. Different from the APF approach, the NSB approach has the foresight ability for collision, and further is widely suggested in view of its capability to handle multi-task constraints.…”
mentioning
confidence: 99%
“…State agreement, which aims at forcing the agents to agree on the states via local interactions, is a basic group behavior with promising applications in many directions, such as synchronization of complex networks [1,2,3], formation control [4,5,6,7,8], distributed optimization [9,10,11,12] and etc.…”
Section: Introductionmentioning
confidence: 99%
“…Multiple autonomous agents are utilized to carry out many complicated tasks in recent decades [1][2][3][4][5], such as surveillance and rescue, monitoring environments and object transportation, etc., which can reduce the computational complexity, improve the robustness of the system, and provide the high-quality products via the proposed distributed controllers compared to that of a single monolith expensive and complex one [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%