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Event-Triggered Synchronization for Nonlinear Multi-Agent Systems With Sampled Data
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DOI：10.1109/TCSI.2020.2995194.png)
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Abstract
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In this paper, the synchronization problem for networked nonlinear agents with time-varying control gain is studied under a synchronous periodic data sampling framework. To achieve synchronization, both the state-dependent and time-dependent event-triggered protocols are proposed. The effectiveness of these protocols is justified by Lyapunov stability theorem based on rigorous mathematical proof, facilitated by a delayed differential inequality with time-dependent parameters. Instead of specifying a lower bound for the control gain, as others usually suggested, our criteria rely on its time-average and thus allow higher flexibility in controller design. Numerical simulations are also presented to confirm the reaching of synchronization and demonstrate the wide applicability of the proposed protocols.
Keywords:
Synchronization
Protocols
Multi-agent systems
Topology
Couplings
Control systems
Delays
Synchronization
event-trigger
nonlinear multi-agent system
time-varying control gain
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