Oceans'10 Ieee Sydney 2010
DOI: 10.1109/oceanssyd.2010.5603980
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Event-based motion coordination of multiple underwater vehicles under disturbances

Abstract: The problem of driving a formation from an initial to a target configuration while under the effect of external disturbances is studied. Additional restrictions on agent sensing as well as inter-agent communication must be satisfied. We present a leader-follower solution that relies on a simple uncertainty model to trigger surfacing events. These events are then used to update the control signal, for which two different, provably correct, control strategies are proposed. Finally, we show how the surfacing even… Show more

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Cited by 17 publications
(12 citation statements)
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“…Suppose Assumptions 1 and 2 hold and let the control updates t i,k be scheduled according to (22). Then practical consensus is achieved with ε as in (10).…”
Section: Practical Consensusmentioning
confidence: 99%
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“…Suppose Assumptions 1 and 2 hold and let the control updates t i,k be scheduled according to (22). Then practical consensus is achieved with ε as in (10).…”
Section: Practical Consensusmentioning
confidence: 99%
“…Proof: We are going to prove that if the control updates are scheduled according to (22), then (9) holds for all the agents i ∈ V and at all the time instants t ≥ 0. Then the claim is obtained from Theorem 1.…”
Section: Practical Consensusmentioning
confidence: 99%
See 2 more Smart Citations
“…In many cases, it outperforms the traditional time-triggered control [27]. It has been also proved especially useful in multi-agent systems, such as consensus algorithms [35], distributed rendezvous problem [29], formation control [36], tracking control [37], and path planning [38]. Tabuada in [31] presented a triggered condition based on norms of the state and the state error eðtÞ ¼ xðt k Þ À xðtÞ (the last measured state minus the current state of the system), where the measurement received at the system is held constant until a new measurement arrives.…”
Section: Introductionmentioning
confidence: 99%