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    多智能体系统带宽分配及预测云控制

    Bandwidth Allocation and Predictive Cloud Control for Multi-agent Systems

    • 摘要: 针对具有未知扰动的多智能体系统, 设计扩张状态观测器, 估计每个智能体的状态和受到的扰动, 并通过无线网络发送给邻居智能体. 利用 Stackelberg 博弈描述多智能体系统的带宽分配问题, 设计了可以补偿网络时延的预测云控制方案, 给出了Stackelberg 博弈的纳什均衡解和多智能体系统一致性和稳定性条件, 通过仿真算例验证了方法的有效性.

       

      Abstract: For a multi-agent system with unknown disturbances, an extended state observer is designed to estimate the state of each agent and the unknown disturbances, and the estimations are sent to the neighbor agent through the wireless network. A Stackelberg game is utilized to describe the bandwidth allocation problem of the multi-agent system. A predictive cloud control scheme that can compensate for network delay is designed. The Nash equilibrium solution of Stackelberg game and the consistency and stability conditions of the multi-agent system are given. The validity is verified by simulation examples.

       

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