引用本文: | 陈阳舟,黄小龙,詹璟原.不确定通信拓扑下多智能体系统鲁棒一致性[J].控制理论与应用,2020,37(8):1709~1716.[点击复制] |
CHEN Yang-zhou,HUANG Xiao-long,ZHAN Jing-yuan.Robust consensus of multi-agent systems with uncertain communication topology[J].Control Theory and Technology,2020,37(8):1709~1716.[点击复制] |
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不确定通信拓扑下多智能体系统鲁棒一致性 |
Robust consensus of multi-agent systems with uncertain communication topology |
摘要点击 2594 全文点击 1112 投稿时间:2019-11-07 修订日期:2020-02-08 |
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DOI编号 10.7641/CTA.2020.90927 |
2020,37(8):1709-1716 |
中文关键词 多智能体系统 通信不确定性 状态一致性 部分变元稳定性 分布式一致性协议 |
英文关键词 multi-agent systems communication uncertain state consensus partial stability distributed consensus protocol |
基金项目 国家自然科学基金项目(61573030, 61803007)资助. |
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中文摘要 |
本文研究一类具有通信不确定的多智能体系统鲁棒一致性问题. 本文提出基于标称通信拓扑有向生成树
的线性变换方法, 将线性多智能体系统的状态一致性问题转化为相应线性系统的鲁棒部分变元渐近稳定性问题. 首
先采用基于有向生成树关联矩阵的线性变换, 将多智能体系统网络的全局状态方程转化为一个降阶子系统; 其次,
将拉普拉斯矩阵的摄动部分进行分解, 利用降阶系统设计鲁棒二次镇定控制器, 推导出所有智能体状态达到渐近一
致的充分条件. 在此基础上将控制协议的参数设计转化为求解线性矩阵不等式的可行解. 最后, 通过数值仿真验证
了所提出的一致性协议分析与设计方法的可行性和有效性. |
英文摘要 |
Distributed robust consensus problem for a class of multi-agent systems (MASs) with uncertain communication
topology is investigated. We propose a state linear transformation by constructing the incidence matrix of a directed
spanning tree in the nominal communication topology, and transform the problem of state consensus of uncertain multiagent
systems into the problem of robust partial asymptotic stability of corresponding linear systems. Firstly, we use the
linear transformation constructed from a directed spanning tree to transform the closed uncertain MAS into a reduced-order
system. Secondly, by using decomposition of perturbation Laplacian matrix, we design a quadratic stabilization robust controller
for the reduced-order system, and derive a sufficient condition guaranteeing all agents’s states to achieve asymptotic
consensus. Based on the condition, the design problem of protocol parameters is converted into finding the feasible solution
of linear matrix inequalities. Finally, the effectiveness and feasibility of the proposed approach is verified by simulation
examples. |
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