Distributed Convex Optimization for Flocking of Nonlinear Multi-agent Systems

Distributed Convex Optimization for Flocking of Nonlinear Multi-agent Systems
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非线性多智能体系统集群的分布式凸优化

DOI:
10.1007/s12555-018-0191-x
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发表时间:
2019-05
期刊:
Journal of Control, Automation and Systems
影响因子:
--
通讯作者:
Zengqiang Chen
Zengqiang Chen
中科院分区:
其他
文献类型:
--
作者:
Qing Zhang;Zhikun Gong;Zhengquan Yang;Zengqiang Chen

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对于具有非线性连续函数的植入行为的连续时间多代理系统,讨论了具有可区分凸目标功能的分布式优化问题。本文的目的是仅使用
A distributed optimization problem with differentiable convex objective function is discussed for continuous-time multi-agent systems with flocking behavior of a nonlinear continuous function. The goal of this paper is to design a controller by using only local interaction information, thus making velocities of all agents be the same. Then the stability of the multi-agent systems is proved and the velocities converge to the value minimizing the sum of local objective functions. Moreover, the paper got some sufficient conditions for the consensus and the optimization. Finally, a numerical case is used to verify the analytical results.
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