Adaptive Consensus of Nonlinear MASs with Event-triggered Updating Algorithm

Yi, Jiale; Li, Jing; Zhang, Zhaohui; Li, Xiaobo

doi:10.1007/s12555-021-0909-z

Cited by 2 publications

(3 citation statements)

References 28 publications

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“…Thus, lim x→∞ xi (t) = 0. Moreover, recall that f (x) is a continuous nonlinear function (Assumption 2), then by resorting back to (17), we have lim x→∞ ṽ(t) = 0. ▪ Remark 2.…”

Section: Denote the Vector Variablesmentioning

confidence: 99%

“…In Reference 15, two event‐trigger conditions and a new dynamic event‐trigger strategy were proposed to achieve consensus in MASs with directed topology structure. Furthermore, some event‐triggered control strategies for nonlinear MASs have been developed 16‐19 . In Reference 17, the event‐triggered control issues of nonlinear MASs over undirected topology were tackled.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, some event‐triggered control strategies for nonlinear MASs have been developed 16‐19 . In Reference 17, the event‐triggered control issues of nonlinear MASs over undirected topology were tackled. For nonlinear MASs over directed topology, event‐trigger control algorithms were considered in References 18 and 19.…”

Section: Introductionmentioning

confidence: 99%

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Observer‐based event‐triggered consensus control for multi‐agent systems with nonlinearity and unknown inputs

Weng,

Zhu

2023

Intl J Robust & Nonlinear

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This article investigates observer‐based consensus issues for a class of Lipschitz nonlinear multi‐agent systems (MASs) with unknown input. To address the challenges because of the unmeasurable states and the unknown input of each agent system, an interval observer is utilized to design an unknown input observer (UIO). The UIO possesses the capability of generating asymptotically the estimations of both the system states and unknown input simultaneously. Subsequently, a distributed control protocol scheme is put forwarded. The distributed controller for each agent is designed by using the state estimation and the unknown input reconstruction (UIR). The unknown input is compensated thanks for the introduction of the UIR into the controller, and thus leads to a better control performance. Besides, the event‐triggered strategy is also considered such that agents communicate with each other discontinuously. In this way, an observer‐based event‐triggered distributed control protocol scheme is developed, and under the scheme, the asymptotic convergent MASs consensus is accomplished. Finally, the effectiveness of the proposed methods is verified by a simulation example.

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“…Thus, lim x→∞ xi (t) = 0. Moreover, recall that f (x) is a continuous nonlinear function (Assumption 2), then by resorting back to (17), we have lim x→∞ ṽ(t) = 0. ▪ Remark 2.…”

Section: Denote the Vector Variablesmentioning

confidence: 99%