Liu Guo-Ping
IEEE Trans Cybern. 2020 Nov;50(11):4735-4743. doi: 10.1109/TCYB.2019.2894264. Epub 2019 Feb 5.
This paper is concerned with the coordinated control problem of multiagent systems with communication constraints. A cost function of measuring the coordinated control between networked multiagents is presented. The networked proportional integral predictive control scheme is proposed so that not only the cost function is optimized but also simultaneous consensus and stability of networked multiagent systems is achieved and the communication constraints are actively compensated. The further analysis provides the necessary and sufficient conditions of reaching simultaneous stability and consensus. An example shows the proposed scheme works effectively.
本文关注具有通信约束的多智能体系统的协同控制问题。提出了一种用于衡量网络化多智能体之间协同控制的代价函数。提出了网络化比例积分预测控制方案,不仅使代价函数得到优化,而且实现了网络化多智能体系统的同时一致性和稳定性,并有效补偿了通信约束。进一步的分析给出了达到同时稳定性和一致性的充要条件。一个例子表明所提方案有效。