.png){kind=icon}
返回
Dynamic event-triggered communication based distributed optimization
.png){kind=icon}
PRE
AI
DOI：10.1002/rnc.5732.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This article presents distributed continuous-time algorithms with dynamic event-triggered communication, called the dynamic event-triggered algorithms, to solve a convex optimization problem in a multiagent network. Firstly, a new dynamic event-triggered communication scheme is introduced and it is shown that the optimization problem is solved and occurrence of Zeno behavior is prevented. Secondly, under the dynamic event-triggered communication implementations, both uniform and logarithmic quantized information algorithms are given to solve the optimization problem. Finally, numerical simulations are given to illustrate the effectiveness of the derived results.
Keyword:
dynamic event-triggered communication
distributed optimization
quantization
multiagent network
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.2
论文数:
7.0K
被引数:
1.4W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Fully Distributed Synchronization of Dynamic Networked Systems With Adaptive Nonlinear Couplings
PREAI
分享收藏Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multiagent Systems多智能体系统分布式优化的事件触发通信和数据速率约束
PREAI
分享收藏Target controllability of multiagent systems under fixed and switching topologies固定和切换拓扑下多智能体系统的目标可控性
PREAI
分享收藏Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games搜索非合作博弈广义纳什均衡的分布式算法
PREAI
分享收藏
分享收藏
查看更多内容