2021
DOI: 10.1177/1077546320985978
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Consensus of nonlinear multi–agent systems with distributed event–triggered impulsive control

Abstract: This study addresses the consensus problem in nonlinear multi-agent systems with the distributed impulsive control method. To decrease communication wastage, a distributed event-triggered impulsive protocol is developed to achieve consensus. In the proposed control method, each agent receives neighbor information and performs impulse control only when its own trigger function exceeds a given tolerance. Then, through the Lyapunov method, the conditions that allow the multi-agent systems reach consensus are anal… Show more

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Cited by 7 publications
(5 citation statements)
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“…Renew Sub-controller in S B For the sub-system S B , the Lyapunov function is chosen the same as that in S A (21), and the controller can be designed in a similar way, thus the detailed expressions are directly given without redundant analysis:…”
Section: Step 2: Uniform Stable Controller Designmentioning
confidence: 99%
See 2 more Smart Citations
“…Renew Sub-controller in S B For the sub-system S B , the Lyapunov function is chosen the same as that in S A (21), and the controller can be designed in a similar way, thus the detailed expressions are directly given without redundant analysis:…”
Section: Step 2: Uniform Stable Controller Designmentioning
confidence: 99%
“…In the following steps, the signal h A is designed to stabilize the system, assisted by the common Lyapunov function (21). The time derivative of V in S A , with sub-controller u A , can be calculated aṡ…”
Section: Step 2: Uniform Stable Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…In recent years, the topics about cooperative control of multi-agent systems have become more and more popular, partly because it has a wide range of applications including pilotless vehicles, formation control, and clustering Qin et al (2017); Zamanian et al (2020); Hu et al (2021); Tang et al (2022).…”
Section: Introductionmentioning
confidence: 99%
“…Impulsive control protocols based on impulsive systems which are characterized by abrupt changes in their evolution at certain instant, have been proposed by scholars [18]. As a powerful non-continuous control method, impulsive control is a control strategy that only applies control at certain discrete sampling points [19][20][21][22] to change the system state, as compared to continuous control methods such as state feedback control [23]. Impulsive control is considered an effective control strategy [24] because it has significant advantages over complex systems that cannot tolerate or receive continuous control inputs [25].…”
Section: Introductionmentioning
confidence: 99%