2021
DOI: 10.1002/rnc.5721
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Further analysis for consensus of hybrid multiagent systems: A unified framework

Abstract: Hybrid multiagent systems exist widely in real world and have been applied in many engineering fields. In this article, we consider the consensus problem for the hybrid multiagent system consisting of continuous‐time and discrete‐time dynamic agents. Different from the previous works, in this article, the interactions between different agents no longer only occur at the sampling time, but continuous‐time dynamic agents can interact with their continuous‐time dynamic neighbors in real time. By using graph theor… Show more

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Cited by 9 publications
(1 citation statement)
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“…Suppose that the sampling period h = 0.3 and the feedback gains k 1 = 2 and k 2 = 5, which satisfy the condition (30). By using distributed protocol (29), the state trajectories of followers and leaders are depicted in Figure 8. And we find that the DT follower F 1 ∼ F 5 asymptotically converge to the convex hull spanned by the positions of the CT leader R 6 ∼ R 8 and the velocity of all agents eventually converge to zero.…”
Section: Simulationsmentioning
confidence: 99%
“…Suppose that the sampling period h = 0.3 and the feedback gains k 1 = 2 and k 2 = 5, which satisfy the condition (30). By using distributed protocol (29), the state trajectories of followers and leaders are depicted in Figure 8. And we find that the DT follower F 1 ∼ F 5 asymptotically converge to the convex hull spanned by the positions of the CT leader R 6 ∼ R 8 and the velocity of all agents eventually converge to zero.…”
Section: Simulationsmentioning
confidence: 99%