2013
DOI: 10.1016/j.neucom.2013.02.038
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Adaptive second-order consensus of multi-agent systems with heterogeneous nonlinear dynamics and time-varying delays

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Cited by 69 publications
(43 citation statements)
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“…Up to now, it has attracted increasing attention of researchers in different fields. So far, many related research works have been successively reported, which can be seen in [1][2][3][4][5][6] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Up to now, it has attracted increasing attention of researchers in different fields. So far, many related research works have been successively reported, which can be seen in [1][2][3][4][5][6] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…The coordinated control of multi-agent systems, including synchronization [6,11,22,25], flocking [15,22], consensus [7,10,12,14,[20][21][22][23]31] and containment [17][18][19], has become an active research field in recent decades. As claimed and demonstrated in [1][2][3][4][5]8,9,13,18,26,29,30], consensus aimed at guiding the states of all agents to achieve a common value is one of the fundamental problems in the coordinated control of multi-agent systems and has attracted considerable attention, ranging from first-order systems [7,23] to second-order systems [10,12,14,20,31] and even high-order ones [21].…”
Section: Introductionmentioning
confidence: 99%
“…As claimed and demonstrated in [1][2][3][4][5]8,9,13,18,26,29,30], consensus aimed at guiding the states of all agents to achieve a common value is one of the fundamental problems in the coordinated control of multi-agent systems and has attracted considerable attention, ranging from first-order systems [7,23] to second-order systems [10,12,14,20,31] and even high-order ones [21]. For example, the authors in [23] investigated the consensus of first-order multiagent systems subject to input saturation, whereas references [12,20,31] focused on the consensus of second-order multi-agent systems with nonlinear intrinsic dynamics. Because it is impractical to directly control every agent in systems with a large number of agents, pinning control, which drives all agents to a desired state by directly exerting controllers on a small fraction of agents, has been employed.…”
Section: Introductionmentioning
confidence: 99%
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