Consensus of multi-agent systems via prescribed-time sliding mode control method

被引:3
|
作者
Zhou, Yingjiang [1 ,2 ,3 ]
Liu, Jingyu [1 ,2 ,3 ]
Jiang, Guo-Ping [1 ,2 ,3 ]
Li, Cheng [1 ,2 ,3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Automat, 9 Wenyuan Rd, Nanjing 210023, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Artificial Intelligence, 9 Wenyuan Rd, Nanjing 210023, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Jiangsu Engn Lab Internet Things & Intelligent Ro, Nanjing, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Prescribed time; sliding mode control; consensus; distributed; multi-agent systems; TRACKING CONTROL; CONTROL DESIGN; FEEDBACK;
D O I
10.1177/01423312221085410
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The consensus of multi-agent systems (MASs) by way of prescribed-time sliding mode control (PTSMC) is investigated in this paper. For the nonlinear system, a continuous and monotone controller is devised to attain the prescribed-time stable (PTS). A prescribed-time sliding mode surface (PTSMS) is selected for the second-order system, and a prescribed-time controller is designed to ensure that all states arrive at the PTSMS within the prescribed time. Then, the PTSMC method is applied to the distributed consensus of the second-order MASs. The efficiency of the presented methods is validated by the simulations.
引用
收藏
页码:2369 / 2377
页数:9
相关论文
共 50 条
  • [1] Sliding mode based prescribed-time consensus tracking control of second-order multi-agent systems
    Cui, Bing
    Wang, Yujuan
    Liu, Kun
    Xia, Yuanqing
    AUTOMATICA, 2023, 158
  • [2] Prescribed-time Consensus for Multi-Agent Systems based on Prescribed Performance
    Zhou, Yingjiang
    Yang, Huan
    Jiang, Guoping
    Xu, Haowen
    Ying, Jiajing
    Zhang, Junjie
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 5279 - 5284
  • [3] Prescribed-time Bipartite Consensus Formation Control for General Linear Multi-agent Systems
    Zhou, Yuan
    Liu, Yongfang
    Zhao, Yu
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 3562 - 3567
  • [4] Neuroadaptive Prescribed-Time Consensus of Uncertain Nonlinear Multi-Agent Systems
    Singh, Vijay Kumar
    Kamal, Shyam
    Ghosh, Sandip
    Dinh, Thach Ngoc
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (01) : 296 - 300
  • [5] Formation Control of Multi-agent Systems Over Directed Topologies: A Sliding Mode Control Approach With Prescribed-time Convergence
    Lodhi, Zain ul Aabidin
    Zhang, Kai
    International Journal of Control, Automation and Systems, 2024, 22 (10) : 3177 - 3190
  • [6] Prescribed-Time Consensus of Integrator-Type Multi-Agent Systems via Sampled-Data Control
    Jia, Xinchun
    Li, Hongpeng
    Chi, Xiaobo
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (07) : 3413 - 3417
  • [7] Prescribed-time leader-following consensus for stochastic second-order multi-agent systems subject to actuator failures via sliding mode control strategy
    Ren, Yuanhong
    Zhou, Wuneng
    Li, Zhiwei
    Liu, Ling
    Sun, Yuqing
    NEUROCOMPUTING, 2021, 425 : 82 - 95
  • [8] Distributed consensus for multi-agent systems via adaptive sliding mode control
    Yu, Zhiyong
    Yu, Shuzhen
    Jiang, Haijun
    Hu, Cheng
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (15) : 7125 - 7151
  • [9] Prescribed-time containment control with prescribed performance for uncertain nonlinear multi-agent systems
    Liu, Dacai
    Liu, Zhi
    Chen, C.L. Philip
    Zhang, Yun
    Journal of the Franklin Institute, 2021, 358 (03) : 1782 - 1811
  • [10] Prescribed-time containment control with prescribed performance for uncertain nonlinear multi-agent systems
    Liu, Dacai
    Liu, Zhi
    Chen, C. L. Philip
    Zhang, Yun
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (03): : 1782 - 1811