.png){kind=icon}
Return
Distributed fixed-time optimization for multi-agent systems with time-varying objective function
.png){kind=icon}
PRE
AI
DOI：10.1002/rnc.6157.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this article, a distributed time-varying convex optimization problem for multi-agent systems is studied. The goal of this article is to use only the local information and interaction information of each agent to drive all agents to achieve consensus and minimize the time-varying global objective function within a fixed time. In order to solve this problem, a centralized fixed-time algorithm based on predictive correction method is proposed, which can optimize the time-varying global objective function based on global information within a fixed time. Then, based on the distributed average tracking method, the centralized algorithm is improved to a distributed fixed-time algorithm based on local information. The theoretical analysis ensures that the algorithms in this article can solve the time-varying optimization problem in a fixed time, and numerical examples are proposed to verify the effectiveness of algorithms. Finally, the distributed algorithm is applied to solve battery packages problem.
Keywords:
distributed optimization
fixed-time control
multi-agent systems
time-varying objective function
Journal
IF:
3.2
Papers:
7.0K
Citations:
1.4W
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveKINEMATIC ANALYSIS AND PROTOTYPE OF A METAMORPHIC ANTHROPOMORPHIC HAND WITH A RECONFIGURABLE PALM
PREAI
ShareSave
ShareSaveNeural adaptive global stability control for robot manipulators with time-varying output constraints
PREAI
ShareSave
View more