Finite-time adaptive consensus of stochastic multi-agent systems with node-based and edge-based adaptive law design methods

被引：9
|
作者：
Xiao, Guanli [1 ]
Wang, JinRong [1 ]
Liao, Yumei [2 ]
机构：
[1] Guizhou Univ, Dept Math, Guiyang 550025, Guizhou, Peoples R China
[2] Guizhou Educ Univ, Sch Math & Big Data, Guiyang, Guizhou, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2022年 / 36卷 / 11期
基金：
中国国家自然科学基金;
关键词：
adaptive protocols; adaptive techniques; finite-time consensus; stochastic multi-agent systems; DISTRIBUTED CONSENSUS; NETWORKS; SYNCHRONIZATION; STABILIZATION;
D O I：
10.1002/acs.3495
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article investigates the finite-time consensus control for stochastic multi-agent systems (SMASs) by using adaptive techniques. First, we propose a finite-time adaptive consensus protocol for SMASs with node-based adaptive law design method. Second, a finite-time adaptive consensus protocol is also proposed for SMASs by adding a dynamical scaling parameter to the weights on the edges of the communication graph. Finally, two simulation examples are provided to verify the effectiveness of the two consensus protocols.
引用
收藏
页码：2920 / 2937
页数：18
相关论文
共 50 条
  • [21] Robust Neuro-adaptive Asymptotic Consensus for a Class of Uncertain Multi-agent Systems: An Edge-based Paradigm
    Yue, Dongdong
    Li, Qi
    Cao, Jinde
    Tan, Xuegang
    2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2019,
  • [22] Adaptive Fuzzy Finite-Time Consensus Tracking for High-Order Stochastic Multi-agent Systems with Input Saturation
    Song, Xinyu
    Zhao, Lin
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2022, 24 (08) : 3781 - 3795
  • [23] Adaptive Fuzzy Finite-Time Consensus Tracking for High-Order Stochastic Multi-agent Systems with Input Saturation
    Xinyu Song
    Lin Zhao
    International Journal of Fuzzy Systems, 2022, 24 : 3781 - 3795
  • [24] Finite-time and fixed-time adaptive consensus of multi-agent systems with general linear dynamics
    Cui, Qiuyan
    Liu, Kaien
    Ji, Zhijian
    Zhao, Meilin
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (18) : 18560 - 18578
  • [25] Event-triggered finite-time consensus for stochastic multi-agent systems
    Yang, Zichao
    Zheng, Shiqi
    Liang, Bingyun
    Xie, Yuanlong
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (04) : 782 - 791
  • [26] Fast finite-time adaptive neural control of multi-agent systems
    Shang, Yun
    Chen, Bing
    Lin, Chong
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (15): : 10432 - 10452
  • [27] Adaptive finite-time consensus tracking for nonlinear second-order multi-agent systems based on integral sliding mode
    Wang, Shan
    Zhan, Xisheng
    Wu, Jie
    Yan, Huaicheng
    EUROPEAN JOURNAL OF CONTROL, 2024, 80
  • [28] Consensus of second-order multi-agent systems with nonlinear dynamics via edge-based distributed adaptive protocols
    Yu, Zhiyong
    Huang, Da
    Jiang, Haijun
    Hu, Cheng
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (18): : 4821 - 4844
  • [29] Finite-time consensus of heterogeneous multi-agent systems
    Zhu Ya-Kun
    Guan Xin-Ping
    Luo Xiao-Yuan
    CHINESE PHYSICS B, 2013, 22 (03)
  • [30] Finite-time consensus of heterogeneous multi-agent systems
    朱亚锟
    关新平
    罗小元
    Chinese Physics B, 2013, 22 (03) : 554 - 559
12345