Adaptive 2-bits-triggered neural control for uncertain nonlinear multi-agent systems with full state constraints

Zicong Chen1, Jianhui Wang2, Tao Zou2

  • 1School of Automation, Guangdong University of Technology, Guangzhou, 510006, China.

Summary

This study introduces adaptive neural control for uncertain nonlinear multi-agent systems (MASs) with state constraints. A 2-bit trigger strategy enhances bandwidth utilization while ensuring system stability and performance.

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