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Distributed optimization for adaptive flocking of multi-agent systems; [多智能体系统的自适应群集分布式优化]
被引：0
|作者：
Zhang Q.
[1
]
Gong Z.-K.
[1
]
Yang Z.-Q.
[1
,3
]
Chen Z.-Q.
[1
,2
]
机构：
[1] College of Science, Civil Aviation University of China, Tianjin
[2] Department of Automation, Nankai University, Tianjin
[3] Air Traffic Management Research Base, Civil Aviation University of China, Tianjin
来源：
基金：
中国国家自然科学基金;
关键词：
Adaptive multi-agent system;
Cost function optimization;
Distributed optimization;
Flocking;
D O I：
10.7641/CTA.2018.80562
中图分类号：
学科分类号：
摘要：
A distributed optimization problem is investigated for continuous-time multi-agent systems with flocking behavior of a nonlinear continuous function. This paper aims at showing that the velocities and positions of all agents can be the same asymptotically and the velocity is optimal, thus minimizing the sum of local cost functions. In this study, each cost function can only be known to its corresponding agent. Firstly, the paper makes some assumptions about the local cost function; Secondly, a distributed control rule and updating laws are designed, in which each agent depends only on its own velocity and neighbor's velocity. Then, the stability of the multi-agent systems is proved and the agents can avoid inter-agent collision while minimizing the sum of local cost functions. Finally, using a simulation case to illustrate the obtained analytical results. © 2019, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
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页码：666 / 672
页数：6
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