Adaptive Event-Triggered Control for Nonlinear Multi-Agent Systems with State Time Delay and Unknown External Disturbance

Fu, Quanxin; Ren, Chang‐E; Zhang, Jiaang; Shi, Zhiping

doi:10.1109/smc52423.2021.9658837

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…In the past few decades, abundant work on consensus tracking of MASs with ETC has been reported [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. Specifically, single-integrator agents and double-integrator agents were investigated in [ 9 , 10 ], respectively.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Bounded Consensus Tracking for Second-Order Nonlinear Multi-Agent Systems with Uncertainties

Ma,

Gu,

Liu

et al. 2023

Entropy

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This paper is concerned with event-triggered bounded consensus tracking for a class of second-order nonlinear multi-agent systems with uncertainties (MASs). Remarkably, the considered MASs allow multiple uncertainties, including unknown control coefficients, parameterized unknown nonlinearities, uncertain external disturbances, and the leader’s control input being unknown. In this context, a new estimate-based adaptive control protocol with a triggering mechanism is proposed. We rule out Zeno behavior by testifying that the lower bound on the interval between two consecutive events is positive. It is shown that under the designed protocol, all signals caused by the closed-loop systems are bounded globally uniformly and tracking errors ultimately converge to a bounded set. The effectiveness of the devised control protocol is demonstrated through a simulation example.

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