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An optimal algorithm for high-order multi-agent systems with event-triggered communication

机译:具有事件触发通信的高阶多智能体系统的优化算法

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The paper mainly talks about the distributed optimal issue under the continuous-time high-order multi-agent system with event-triggered communication. Every agent possesses its local convex cost function only known by itself. and our aim is to minimize the sum of all the local cost functions and make the agents convergent to the optimal point through the communication between the agents. Utilizing the knowledge of convex analysis and graph theory, we propose a distributed protocol with event-triggered communication under a undirected graph for the high-order multi-agent system. Through Lyapunov method, the agents gradually converging to the optimal point is testified. In addition, we provide an example to validate the proposed protocol.
机译:本文主要讨论具有事件触发通信的连续时间高阶多智能体系统下的分布式最优问题。每个主体都具有仅由其自身知道的局部凸成本函数。我们的目标是使所有本地成本函数的总和最小化,并通过代理商之间的沟通使代理商收敛到最佳点。利用凸分析和图论的知识,我们针对高阶多智能体系统提出了一种在无向图下具有事件触发通信的分布式协议。通过Lyapunov方法,证明了逐步收敛到最优点的智能体。此外,我们提供了一个示例来验证建议的协议。

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