控制理论与应用2017，Vol.34Issue(12)：1648-1653,6.DOI:10.7641/CTA.2017.17046
具有群集行为的时变函数分布式优化
Distributed velocity optimization of time-varying functions with flocking behavior
摘要
Abstract
This paper studies optimization problem for continuous-time multi-agent systems with flocking behavior.Multi-agents with second-order dynamics are considered.Each agent is equipped with a local time-varying cost function which is known only to an individual agent.The objective is to make multi-agents'velocities minimize the sum of local functions by local interaction,while avoiding collision and preserving connectivity.A distributed protocol with flocking behavior is presented,in which each agent depends only on its own velocity and neighbor's velocities.It can be proved that under the control protocol,all agents remain connected and avoid collisions while the velocity of the agents tracks the optimal velocity.关键词
分布式优化/群集/多智能体系统/保持连通Key words
distributed optimization/flocking/multi-agent systems/connectivity-preserving分类
信息技术与安全科学引用本文复制引用
杨正全,张青,陈增强..具有群集行为的时变函数分布式优化[J].控制理论与应用,2017,34(12):1648-1653,6.基金项目
Supported by National Natural Science Foundation of China(61573199),National Natural Science Foundation of Tianjin(14JCYBJC18700)and Basic Research Projects of High Education(3122015C025). （61573199）
