最小能量约束多智能体系统采样通信编队控制
作者:
作者单位:

1.火箭军工程大学 导弹工程学院, 陕西 西安 710025 ; 2.北京理工大学 宇航学院, 北京 100081

作者简介:

秦东浩(1978—),男,山东招远人,博士,E-mail:42606553@qq.com

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中图分类号:

TP273+.1

基金项目:

国家自然科学基金资助项目(62176263,62103434,62003363,U23B2064);陕西省科协青年人才托举计划资助项目(20220123);陕西省自然科学基础研究计划资助项目(2022KJXX-99)


Sampling communication formation control of multi-agent systems with minimum-energy constraints
Author:
Affiliation:

1.College of Missile Engineering, Rocket Force University of Engineering, Xi′an 710025 , China ;2.School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081 , China

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    摘要:

    针对高阶连续线性多智能体系统,给出了采样通信条件下最小能量时变编队设计方法。利用采样时刻多智能体系统局部邻域信息,提出了考虑全局控制能量消耗的时变编队协同控制协议。采用状态空间分解方法,将多智能体系统的时变编队问题转化为分解后不一致子系统的稳定性问题。构造了编队可行性条件,利用广义特征值方法,给出了最小能量约束时变编队分析和设计的充分条件,确保多智能体系统在最小能量约束下实现采样通信时变编队。对理论结果进行数值仿真验证。仿真结果表明,采取最小能量约束编队控制方法,能够有效降低多智能体系统在采样通信条件下实现时变编队的全局控制能量消耗。

    Abstract:

    For high-order continuous linear multi-agent systems, a minimum-energy formation design method with sampled-data communication was proposed. Based on local neighboring information of multi-agent systems at sampling time, a time-varying formation cooperative control protocol with global control energy consumption being considered was presented. By the state-space decomposition method, the time-varying formation problem of multi-agent systems was transformed into the stability problem of decomposed non-consensus subsystems. A formation feasible condition was constructed, and sufficient conditions for the design of time-varying formation under minimum-energy constraints were obtained by the generalized eigenvalue approach, which ensured that the time-varying formation of multi-agent systems could be realized under minimum-energy constraints. Theoretical results were verified by a numerical simulation, and simulation results show that the formation control method with minimum-energy constraints can effectively reduce the global control energy consumption of time-varying formation of multi-agent systems with sampled-data communication.

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秦东浩, 王乐, 高久安, 等. 最小能量约束多智能体系统采样通信编队控制[J]. 国防科技大学学报, 2025, 47(6): 274-286.

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  • 收稿日期:2023-11-11
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  • 在线发布日期: 2025-12-02
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