2020
DOI: 10.1109/tcyb.2018.2877413
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Output-Based Dynamic Event-Triggered Mechanisms for Disturbance Rejection Control of Networked Nonlinear Systems

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Cited by 48 publications
(37 citation statements)
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References 39 publications
(76 reference statements)
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“…Nevertheless, the controller will need more computing resources to perform the corresponding calculation for the estimation. For more details on the trade-off between the performance and cost, readers can refer to Sun et al (2018).…”
Section: Methodologiesmentioning
confidence: 99%
“…Nevertheless, the controller will need more computing resources to perform the corresponding calculation for the estimation. For more details on the trade-off between the performance and cost, readers can refer to Sun et al (2018).…”
Section: Methodologiesmentioning
confidence: 99%
“…However, the increase of ν often implies that more computing costs needed in the estimation of such approximation. Under this constraint, a study of the accuracy and costs is given in [28].…”
Section: A System Analysismentioning
confidence: 99%
“…A promising solution to save the communication resource is to execute the control tasks according to the performance requirement instead of the elapse of a fixed sampling rate [10][11][12]. Based on the principle, a novel control strategy called event-triggered control has been developed such as to reduce the conflict between the limited communication resource and the transmission times [13][14][15][16]. The main merit of the event-triggered control is that it provides one freedom to regulate the communication transmission rate in the controller design.…”
Section: Introductionmentioning
confidence: 99%
“…What is worse, the Zeno behavior may be induced by an arbitrarily small external disturbance. To address the issue, [14,15] proposed the event-triggered disturbance rejection control strategies by integrating the disturbance estimation and compensation technique in the design of controller for single networked control systems, such that both the communication property and the control performance can be significantly improved. However, for multiagent systems with time-varying disturbances, it still open for the problem of the reduced-order observer based output consensus disturbance rejection via event-triggering mechanism.…”
Section: Introductionmentioning
confidence: 99%
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