2018
DOI: 10.1080/00207179.2018.1486042
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Integral-based event-triggered control for multi-agent systems with general linear dynamics

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Cited by 17 publications
(25 citation statements)
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“…One feature of the proposed control protocol (8) which distinguishes it from the recent work on the leader-follower tracking control problem [12][13][14]17,29 is that the agents are assigned individual control gains. That is, the control gain matrix K i in (8) depends on i, whereas in [12][13][14]17,29 all agents were to use the same gain matrix K. Furthermore, we will show that the proposed event-triggered strategy not only guarantees that the systems do not exhibit Zeno behavior, but also ensures asymptotic convergence of the tracking errors between the leader and the followers. By contrast, the results in References 12,13 only guarantee that the systems tracking errors converge to a desired small bound when Zeno behavior is excluded.…”
Section: Problem Formulationmentioning
confidence: 99%
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“…One feature of the proposed control protocol (8) which distinguishes it from the recent work on the leader-follower tracking control problem [12][13][14]17,29 is that the agents are assigned individual control gains. That is, the control gain matrix K i in (8) depends on i, whereas in [12][13][14]17,29 all agents were to use the same gain matrix K. Furthermore, we will show that the proposed event-triggered strategy not only guarantees that the systems do not exhibit Zeno behavior, but also ensures asymptotic convergence of the tracking errors between the leader and the followers. By contrast, the results in References 12,13 only guarantee that the systems tracking errors converge to a desired small bound when Zeno behavior is excluded.…”
Section: Problem Formulationmentioning
confidence: 99%
“…A larger enables us to choose a larger in the time-dependent triggering threshold. According to (17), this ensures that the local model errors e i (t) and the errors of the predicting the leader dynamics e 0,i (t) converge to zero at a greater exponential rate. Selecting the parameters for the event-triggering condition (17) involves the following steps: (a).…”
Section: Each Follower I In System (3) Asymptotically Converges To Thmentioning
confidence: 99%
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