2017
DOI: 10.1016/j.neucom.2016.07.063
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Generalized multi-synchronization: A leader-following consensus problem of multi-agent systems

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Cited by 12 publications
(5 citation statements)
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“…Subsequently, substituting (12) and (13) into (11) gives In fact, system (14) consists of N individual systems in (6). Denote by T ωz ∞ and T ω i z i ∞ the transfer function matrices of system (14) and (6), respectively.…”
Section: Preliminaries and Problem Descriptionmentioning
confidence: 99%
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“…Subsequently, substituting (12) and (13) into (11) gives In fact, system (14) consists of N individual systems in (6). Denote by T ωz ∞ and T ω i z i ∞ the transfer function matrices of system (14) and (6), respectively.…”
Section: Preliminaries and Problem Descriptionmentioning
confidence: 99%
“…As a hot topic of swarm systems, distributed cooperative control for swarm systems has gained an increasing attention from many communities because of its wide applications in various areas including rendezvous [1][2][3], filtering [4][5][6], formation control [7][8][9], synchronization of powerdriven machine [10][11][12], and other areas [13][14][15][16]. It should be also pointed out that some relevant novel nearest results in aerospace have been reported in [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Given that, we have proposed the linear matrix inequality based design method for multisynchronization Complexity 7 control problem. From the previous discussion, linear matrix inequalities (13) and (14) in Theorem 5 and linear matrix inequalities (32) and (33) in Theorem 6 can be effectively solved.…”
Section: Remarkmentioning
confidence: 99%
“…To choose constant 1 = 0.3, in addition, we select 2 = 0.9, = 0.1, and matrices R = diag(1, 1) and W = diag(0.5, 0.5), and then conditions (13) and (14) are satisfied. That is, Theorem 5 holds.…”
Section: Two Numerical Examplesmentioning
confidence: 99%
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