Distributed optimization design for second-order multi-agent systems
Distributed optimization design for second-order multi-agent systems
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DOI：
10.1109/chicc.2014.6896894
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Yanqiong Zhang;Yiguang Hong
中科院分区：
文献类型：
--
作者：
Yanqiong Zhang;Yiguang Hong
在本文中，我们考虑的动态优化问题的连续时间多智能体系统的智能体的形式双积分。与多智能体一致性问题不同，我们必须在智能体达成一致时达到最优性能。为了解决这个问题，我们给出了一个基于梯度的分布式多智能体网络设计，并利用李雅普诺夫方法证明了多智能体系统的收敛性.此外，我们还提供了模拟来说明理论结果。
In this paper, we consider the dynamic optimization problem for continuous-time multi-agent systems with agents in the form of double integrators. Different from multi-agent consensus problem, we have to achieve an optimization performance when the agents become consensus. To solve the problem, we give a distributed gradient-based design for the considered multi-agent network under a connected interaction topology, and prove the convergence of the multi-agent systems to the optimization by Lyapunov techniques. Moreover, we also provide simulations to illustrate the theoretical results.