节点文献
基于状态分解的多智能体系统二分一致性隐私保护
Binary Consensus Privacy Protection for Multi-agent Systems Based on State Decomposition
【Author】 Fan Fang;Hongyong Yang;Shuochen Wang;Fei Liu;Li Liu;School of Information and Electrical Engineering, Ludong University;
【机构】 鲁东大学信息与电气工程学院;
【摘要】 多智能体系统的一致性控制问题作为多智能体系统协同控制领域的基础问题之一,已经成为许多研究领域的一个热门问题。本文研究了有向拓扑条件下合作竞争网络中具备终态隐私保护的离散时间多智能体系统二分一致性控制问题。首先,利用状态分解算法的思想设计了系统中节点更新的算法,智能体之间只交互部分状态信息,内部子状态按照一定的比值进行更新。然后利用网络拓扑条件以及状态分解后的子节点状态值,提出一种在有向网络拓扑下实现多智能体系统二分一致控制的方法,保护了系统中所有智能体的初始以及最终状态值。最后通过实验验证了本文结论的有效性。
【Abstract】 The consensus control problem of multi-agent systems, as one of the fundamental problems in the fifield of cooperative control of multi-agent systems, has become a hot topic in many research areas.This paper studies the bipartite consensus control problem of discrete-time multi-agent systems with terminal privacy protection in directed topologies.Firstly, the control equations for node updates in the system are designed using the idea of state decomposition algorithm, where agents only exchange partial state information and update their internal sub-states according to certain ratios. Then, based on the symbolic directed network topology and the decomposed sub-node state values, a method for achieving bipartite consensus control of multi-agent systems under the symbolic directed network communication topology is proposed, which protects the initial and final state values of all agents in the system.Finally, the effectiveness of the conclusions in this paper is verified through experiments.
【Key words】 multi-agent systems; directed topology; cooperative and competitive networks; end-state privacy-preserving; bipartite consensus;
- 【会议录名称】 2023第七届全国集群智能与协同控制大会论文集
- 【会议名称】2023第七届全国集群智能与协同控制大会
- 【会议时间】2023-11-24
- 【会议地点】中国江苏南京
- 【分类号】TP309;TP18
- 【主办单位】中国指挥与控制学会