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This paper establishes a cooperative reliability model for multi-agent systems, focusing on communication delay and agent failure impacts. Methods include stability analysis using Lyapunov functions and simulations via MATLAB and STK to test task completion and energy efficiency under varied conditions. Results indicate communication delays significantly affect task efficiency, while optimized algorithms enhance fault tolerance. The results indicate that this method can significantly improve task completion efficiency and system fault tolerance, providing theoretical support and practical reference for collaborative optimization of multi-agent systems.

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Collaborative Reliability Testing and Analysis of Multi-agent Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Yuanxu Xu,
  • Zhijian You,
  • Fangfang Li

摘要

This paper establishes a cooperative reliability model for multi-agent systems, focusing on communication delay and agent failure impacts. Methods include stability analysis using Lyapunov functions and simulations via MATLAB and STK to test task completion and energy efficiency under varied conditions. Results indicate communication delays significantly affect task efficiency, while optimized algorithms enhance fault tolerance. The results indicate that this method can significantly improve task completion efficiency and system fault tolerance, providing theoretical support and practical reference for collaborative optimization of multi-agent systems.