| Author Name | Affiliation | Postcode | | Qing Zhang | College of Science, Civil Aviation University of China, Tianjin 300300, China | 300300 | | Zhikun Gong | College of Science, Civil Aviation University of China, Tianjin 300300, China | 300300 | | Zhengquan Yang* | College of Science, Civil Aviation University of China, Tianjin 300300, China | 300300 | | Zengqiang Chen | College of Science, Civil Aviation University of China, Tianjin 300300, China
Department of Automation, Nankai University, Tianjin 300071, China | 300300 |
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| Abstract: |
| A continuous-time distributed optimization was researched for second-order heterogeneous multi-agent systems. The aim of this study is to keep the velocities of all agents the same and make the velocities converge to the optimal value to minimize the sum of local cost functions. First, an effective distributed controller which only uses local information was designed. Then, the stability and optimization of the systems were verified. Finally, a simulation case was used to illustrate the analytical results. |
| Key words: distributed optimization heterogeneous multi-agent system local cost function consensus |
| DOI：10.11916/j.issn.1005-9113.18124 |
| Clc Number:TP18 |
| Fund: |
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| Descriptions in Chinese: |
| 本文对连续时间二阶异质多智能体系统的分布式优化问题进行了研究，这与原有的优化问题不同。本篇文章的目的是让所有智能体的速度达到一致，并且在速度收敛到最优时，使局部代价函数之和最小。首先，设计了一个有效的分布式控制器，每个智能体只知道邻居的信息，然后证明了在此控制器的作用下，异质多智能体系统达到稳定并且智能体的速度达到最优。同时给出了系统达到一致性的充分条件。最后，通过一个仿真实例对分析结果进行了说明。 |
