.png){kind=icon}
返回
Multiobjective Distributed Optimization via a Predefined-Time Multiagent Approach
.png){kind=icon}
PRE
AI
DOI：10.1109/TAC.2023.3244122.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this study, we propose a predefined-time multi-agent approach for multiobjective optimization. Predefined-time optimization is an optimization approach that can converge to a state that is extremely close to an optimal solution at a given time. A time-base generator is derived and applied to the optimization approaches for achieving predefined-time optimization. The multi-objective optimization problem is reformulated as a distributed optimization problem and, thus, solved in a private and safe manner. For distributed optimization, a multiagent system with time-base generators is developed for predefined-time optimization, and its convergence and speed are proven. Several examples confirm the validity of the results.
Keyword:
Distributed optimization
multiagent system (MAS)
multiobjective optimization
predefined-time optimization
time-base generator (TBG)
期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
机构
引用论文
Distributed Optimization for Multiagent Systems: An Edge-Based Fixed-Time Consensus Approach多代理系统的分布式优化: 基于边缘的固定时间共识方法
PREAI
分享收藏Practical fixed-time consensus for integrator-type multi-agent systems: A time base generator approach积分器型多智能体系统的实用固定时间一致性: 时基生成器方法.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
Distributed Continuous-Time Algorithms for Resource Allocation Problems Over Weight-Balanced Digraphs权重平衡有向图上资源分配问题的分布式连续时间算法
PREAI
分享收藏Distributed sub-optimal resource allocation over weight-balanced graph via singular perturbationAUTOMATICA
OAAI
AUTOMATICAIF5.9
OAAI分享收藏
查看更多内容