journal article·2022-07-28Open access

Quasi-Consensus of Disturbed Nonlinear Multiagent Systems with Event-Triggered Impulsive Control

Zhihua Gu, Shiguo Peng, Yujia Huang

Applied Sciences· Volume 12· Issue 15

Abstract

Considering the external disturbances, in this paper, the quasi-consensus of multiagent systems is studied via event-triggered impulsive control. By designing a novel event-triggered mechanism (ETM), sufficient conditions to realize leader-following quasi-consensus are derived with event-triggered impulsive control. Additionally, Zeno behavior is also excluded. It is shown that the event-triggered frequency is closely related to the parameters selected in the designed ETM, and less conservative results can be obtained compared with the existing results. Finally, a simulation example is given to demonstrate the effectiveness of our proposed results.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Distributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Stability and Control of Uncertain Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Automation, Guangdong University of Technology, Guangzhou 510006, China

Funding

the National Natural Science Foundation of China · the Guangdong Basic and Applied Basic Research Foundation

References (37)

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