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Nonlinear Multiagent Systems Consensus via Delayed Nonfragile Sampled-Data Control
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AI
DOI：10.1109/TCNS.2024.3463507.png)
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Abstract
En 中文
This article investigates the consensus issue of nonlinear multiagent systems by utilizing the delayed nonfragile sampled-data control mechanism. First of all, in consideration of the aperiodic sampling and the transmission time, a novel type extended looped functional is constructed. In the extended looped functional, some integral state vectors are first utilized to achieve the goal of enlarging the sampling interval upper bound. And, to guarantee the flexibility of the controller, the sampling fluctuation is taken into account in the design procedure. Then, on the basis of free-matrix-based inequalities, several sufficient consensus criteria with less conservativeness are obtained, which are presented as linear matrix inequalities. Eventually, an example of autonomous aerial vehicles is exhibited to prove the validity and advantages of the proposed consensus criteria.
Keywords:
Vectors
Symmetric matrices
Delays
Stability criteria
Network systems
Multi-agent systems
Laplace equations
Aperiodic sampling
controller fluctuation
nonlinear multiagent systems (MASs)
time delay
Journal
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5
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1.6K
Citations:
5.8K
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