Adaptive Double Event-Triggered Control for Linear Multi-Agent Systems With Actuator Faults

Luo, Shengping; Ye, Dan

doi:10.1109/tcsi.2019.2932084

Cited by 71 publications

(31 citation statements)

References 38 publications

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“…Remark 6. Although event-based control method under intermittent communication and control updates is used in our previous work, 28 this article differs from that in mainly three points: (a) the methods in Reference 28 require network topology or the total number of agents, while fully distributed methods are proposed in this article. (b) For each agent, it is necessary to construct observers to estimate all its neighborhoods and equip with two sets of trigger devices in Reference 28, which may be expensive.…”

Section: We Choose ≥̆Cmentioning

confidence: 99%

“…On the other hand, the nonzero eigenvalues of the Laplacian matrix 7,[11][12][13][14][15][16][17][18][24][25][26][27] or the total number of agents 7,12,23,25,27,28 is used to design several parameters of the control inputs or the triggering functions. It should be noted that both nonzero eigenvalues of the Laplacian matrix and the total number of agents are global knowledge of the network.…”

Section: Introductionmentioning

confidence: 99%

“…Then the fully distributed event-based protocol designs for linear MASs from a novel perspective are presented in References 21,22, while they can only reduce communication consumption. In our previous work, 28 double ETMs methods are proposed which can decrease communication consumption and control updates. Nevertheless, the topology or the total number of nodes should be known in Reference 28 so the fully distributed control method is not designed.…”

Section: Introductionmentioning

confidence: 99%

“…(ii) A fully distributed adaptive event-based control scheme is proposed, which shows advantage over some existing methods for relying on neither the global information of the network graph 7,[12][13][14][15][16][17][24][25][26][27] nor the network's scale. 12,23,25,27,28 Besides, unlike the schemes in References 17-20, the control signal of the neighbor node is not needed in the control scheme here, so that it is not difficult to implement in practice.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid event‐triggered control of linear multiagent systems via a fully distributed approach

Luo

2021

Intl J Robust & Nonlinear

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This article studies the problem of event-triggered consensus for linear multiagent systems. Leaderless and leader-following cases are considered here. By adopting adaptive technology and utilizing the relationship between parameters, novel fully distributed control schemes are proposed. Both the control updates and the communication consumption between agents can be declined under the designed hybrid event-triggered controller. Meanwhile, different from some existing event-based control schemes, the projection operator is avoided so that the developed controllers use only local signal, which relies on neither the minimum nonzero eigenvalue of the Laplacian matrix nor the total number of agents. The designed control schemes can ensure that leaderless and leader-following consensus to be achieved asymptotically, and Zeno behavior is excluded by presenting a hybrid event-triggered mechanism. Simulation examples are provided to demonstrate the effectiveness of the presented control protocols.

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Section: We Choose ≥̆Cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid event‐triggered control of linear multiagent systems via a fully distributed approach

Luo

2021

Intl J Robust & Nonlinear

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“…The problem of consensus tracking control was addressed for MASs with actuator faults under directed networks in [39]. Luo et al [25] considered the event-triggered consensus control problem for linear MASs with actuator faults. The work in [30] addressed the consensus fault-tolerant control problem for MASs subject to linear fractional transformation uncertain parameters.…”

mentioning

confidence: 99%

Event-triggered adaptive fault-tolerant control for multi-agent systems with unknown disturbances

Ren¹,

Li²,

Lu³

2021

Discrete &Amp; Continuous Dynamical Systems - S

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This paper presents an event-triggered consensus control protocol for a class of multi-agent systems with actuator faults, sensor faults and unknown disturbances. The adaptive neural network compensation control method is introduced to solve the problem of sensor faults. The event-triggered mechanism is developed to reduce the communication burden. In the control design process, the radial basis function neural networks are used to approximate the unknown nonlinear functions, and a nonlinear disturbance observer is used to eliminate the effect of unknown external disturbances. Furthermore, based on the graph theory and Lyapunov stability theory, it is further shown that the consensus tracking errors are semi-globally uniformly ultimately bounded. Finally, the simulation example illustrates the effectiveness of the designed control protocol.

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Robust event‐triggered consensus tracking control of high‐order uncertain nonlinear systems

Yang

Takei

2021

Intl J Robust & Nonlinear

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This work considers the problem of distributed event-triggered consensus tracking control of multiple high-order uncertain nonlinear systems on a connected graph where the leader's reference information is sent to only a portion of the followers. The communication among the agents and the local control update are performed based on different event-triggering mechanisms which possess different triggering conditions and work independently. To facilitate consensus tracking control design, in each follower agent of the network, a group of distributed and cascaded estimators is constructed for estimating the reference trajectory and its high-order derivatives by event-triggered information exchange among the local neighbors on the communication graph. Theoretical analysis shows that the estimation errors of the reference states decay within a very short time to the neighborhood of the origin and that the Zeno behavior is excluded. Then by utilizing the estimated reference states, in each agent, a local event-triggered robust controller including a nonlinear robustifying term with a state signal dependent gain is proposed. The triggering condition is derived by taking the time-varying control gain into account, and the tracking performance of the local controller is rigorously analyzed. Furthermore, it is shown that the Zeno behavior is also excluded. Finally, simulation examples are provided to demonstrate the performance of the reference estimators and that of the consensus tracking controllers.

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Adaptive Double Event-Triggered Control for Linear Multi-Agent Systems With Actuator Faults

Cited by 71 publications

References 38 publications

Hybrid event‐triggered control of linear multiagent systems via a fully distributed approach

Hybrid event‐triggered control of linear multiagent systems via a fully distributed approach

Event-triggered adaptive fault-tolerant control for multi-agent systems with unknown disturbances

Robust event‐triggered consensus tracking control of high‐order uncertain nonlinear systems

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