Predefined-time stability for a class of dynamical systems and its application on the consensus control for nonlinear multi-agent systems

被引:8
|
作者
Guo, Wanli [1 ]
Wang, Lu [1 ]
Shi, Lili [1 ]
Sun, Wen [2 ]
Jahanshahi, Hadi [3 ]
机构
[1] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China
[2] Hubei Normal Univ, Sch Math & Stat, Huangshi 435002, Peoples R China
[3] Univ Manitoba, Dept Mech Engn, Winnipeg, MB R3T 5V6, Canada
基金
中国国家自然科学基金;
关键词
Predefined-time stability; Fixed-time stability; Average consensus; Predefined-time control algorithm; Multi-agent systems; TRACKING CONTROL; SYNCHRONIZATION;
D O I
10.1016/j.ins.2023.01.063
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 paper focuses primarily on the predefined-time stability for a class of fixed-time stable systems, with the least upper bound of the settling time as an explicit parameter. It is mathematically proved that the systems under consideration herein can reach stability within any preassigned time, rather than the overestimation of convergence time found in previous fixed-time stability. Comparisons show that our studied system is more general than some classical ones, and that many existing results can be derived. As an application of the exposed stability analysis, static and adaptive predefined-time control algorithms are designed to study the average consensus problem for nonlinear leaderless multi-agent systems. Particularly, the adaptive control protocol guarantees predefined-time con-sensus without requiring the global topology information of the systems under considera-tion. Numerical simulations are provided throughout to support our theoretical results.(c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:180 / 203
页数:24
相关论文
共 50 条
  • [1] Predefined-Time Average Consensus Control for Heterogeneous Nonlinear Multi-Agent Systems
    Guo, Wanli
    Shi, Lili
    Sun, Wen
    Jahanshahi, Hadi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 70 (08) : 2989 - 2993
  • [2] Adaptive predefined-time consensus control for disturbed multi-agent systems
    Jiang, Jiahuan
    Chi, Jing
    Wu, Xiaoming
    Wang, Hai
    Jin, Xiaozheng
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (01): : 110 - 124
  • [3] Predefined-time adaptive consensus control for nonlinear multi-agent systems with input quantization and actuator faults
    Lu, Li-Ting
    Zhu, Shan-Liang
    Wang, Dong-Mei
    Han, Yu-Qun
    NONLINEAR DYNAMICS, 2024, 112 (16) : 14215 - 14234
  • [4] Adaptive predefined-time consensus for nonlinear multi-agent systems with input delay and performance constraints
    Hou, Xinzhao
    Wu, Huaiqin
    Cao, Jinde
    Neurocomputing, 2025, 611
  • [5] Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter
    Lu, Yafei
    Zhao, Hui
    Liu, Aidi
    Zheng, Mingwen
    Niu, Sijie
    Gao, Xizhan
    Zong, Xiju
    NEURAL INFORMATION PROCESSING, ICONIP 2023, PT I, 2024, 14447 : 504 - 515
  • [6] Predefined Time Consensus Control of Nonlinear Multi-Agent Systems for Industry 5.0
    Qiu, Xiaolu
    Cai, Zhiqin
    Peng, Haijun
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 1913 - 1922
  • [7] Predefined-Time Containment Control for Nonlinear Multi-agent Systems via Sliding Mode Control
    Wang, Luxiang
    Liu, Xiaoyang
    Hu, Yuanfa
    Hu, Xiaoting
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 5431 - 5435
  • [8] Predefined-time practical consensus for multi-agent systems via event-triggered control
    Chen, Xia
    Sun, Qianqian
    Yu, Hao
    Hao, Fei
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (03): : 2116 - 2132
  • [9] Predefined-time Formation Tracking for Multi-agent Systems
    Huang, Kai-Lun
    Ge, Ming-Feng
    Liang, Chang-Duo
    Ding, Teng-Fei
    Xu, Guang-Hui
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 1576 - 1580
  • [10] Decentralized predefined-time leaderless consensus-formation VFO control for nonholonomic multi-agent systems
    Sobanski, Rafal M.
    Defoort, Michael
    Michalek, Maciej M.
    13TH INTERNATIONAL WORKSHOP ON ROBOT MOTION AND CONTROL, ROMOCO 2024, 2024, : 136 - 141