二阶多智能体系统包含控制的时滞范围优化
作者:
作者单位:

1.东北大学 信息科学与工程学院;2.东北大学 流程工业综合自动化国家重点实验室

作者简介:

通讯作者:

中图分类号:

TP273

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Delay Range Optimization for Containment Control of Second-Order Multi-Agent Systems
Author:
Affiliation:

1.Northeastern University College of Information Science Engineering;2.College of Information Science Engineering,Northeastern University;3.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    本文研究了具有未知时滞的二阶多智能体系统的鲁棒包含控制问题. 考虑智能体之间同时具有通信延时 和自延时, 分别在无向拓扑和有向拓扑通信下, 获得多智能体系统保持鲁棒包含控制所能允许的最大时滞范围. 借助函数的凸分析和非线性规划方法解析地获得了无向图下包含控制所允许的最大时滞范围. 对于有向图, 通过 遗传算法求解非光滑的优化问题获得了最大时滞范围的数值解. 同时结果可退化为领导-跟随控制所能获得的最 大时滞范围. 最后, 仿真例子验证了所提理论和算法的有效性

    Abstract:

    In this paper we study the robust containment control problem for second-order multi-agent systems with unknown time delays. We consider both the agent’s communication delay and inter-agent delay, simultaneously. We derive the maximum delay range for undirected topology and directed topology respectively, such that multi-agent systems can maintain the robust containment. Via the convex analysis and nonlinear programming, the analytic maximum delay range to maintain containment under undirected graph is derived. For directed graph, the genetic algorithm is proposed to solve the non-smooth optimizing problem and the numerical values of maximum delay range are obtained. Meanwhile, the results can be reduced to finding the maximum delay range of leader-following control. Finally, the simulations are verified the effectiveness of results and algorithm.

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历史
  • 收稿日期:2022-04-13
  • 最后修改日期:2022-11-10
  • 录用日期:2022-08-02
  • 在线发布日期: 2022-08-27
  • 出版日期: