论文标题
部分可观测时空混沌系统的无模型预测
Delay-dependent LMI-based stability criterion for distributed optimization problem in heterogeneous linear multi-agent systems over random digraphs
论文作者
论文摘要
这项工作研究了异质线性多机构系统中分布式优化的问题。我们没有像许多现有的分布式优化方法那样依靠完美的通信网络，而是考虑了与通信网络相关的两个重要问题。首先，假设每个代理从其邻居接收信息时存在通信延迟。此外，由于通信网络通常不可靠，因此我们假设每个代理通过随机挖掘与其他代理进行交互。最后，为了证明融合到最佳溶液，以线性矩阵不等式的形式得出了延迟依赖性的足够条件。给出了数值模拟结果的分析，以证明引入方法的有效性。
This work studies the problem of distributed optimization in heterogeneous linear multi-agent systems. Instead of relying on a perfect communication network as in many existing distributed optimization approaches, we considered two important issues related to communication networks. First, assumed that communication delays exist when each agent receives information from its neighbors. Further, since communications networks are generally unreliable, we assumed each agent interacted with the other agents through random digraphs. Finally, to prove convergence to optimal solutions, delay-dependent sufficient conditions are derived in the form of linear matrix inequality. An analysis of numerical simulation results is presented to demonstrate the effectiveness of the introduced approach.
