Funnel-Based Predefined-Time Containment Control of Heterogeneous Multiagent Systems With Sensor and Actuator Faults

被引:2
|
作者
Yang, Tingting [1 ,2 ]
Dong, Jiuxiang [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Key Lab Vibrat & Control Aeroprop Syst, Minist Educ, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Actuator fault; containment control (CC); funnel control; multiagent systems (MASs); practical predefined-time (PT); sensor fault; PRESCRIBED PERFORMANCE; TRACKING CONTROL;
D O I
10.1109/TSMC.2023.3330942
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Adaptive containment control with funnel performance and practical predefined-time (PT) convergence is investigated for uncertain nonlinear heterogeneous multiagent systems (MASs) with multiple leaders. Unlike the existing funnel literatures, the considered system has unknown sensor and actuator failures simultaneously, and no assumptions are imposed on the system function. In particular, different adaptive laws are introduced to reduce the effects of sensor and actuator faults. An improved nonlinear filter is employed to avoid the "explosion of complexity" issue and realizes the convergence of filter errors within the PT. Additionally, the control singular issue is avoided by using L'Hospital's rule. Subsequently, it is shown that the proposed controller can realize that all the signals are practical PT bounded, the followers converge to the convex formed by multiple leaders and the containment errors remain in the prescribed funnel region. Finally, simulation examples are performed to verify the effectiveness of the proposed algorithm.
引用
收藏
页码:1903 / 1913
页数:11
相关论文
共 50 条
  • [41] Adaptive Finite-Time Funnel Control for Stochastic Nonlinear Systems with Actuator Faults
    Zhu, Yuting
    Cao, Liang
    Qin, Yi
    Zhang, Pengchao
    2022 4TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS, ICCR, 2022, : 247 - 251
  • [42] Neural-Based Predefined-Time Distributed Optimization of High-Order Nonlinear Multiagent Systems
    Zheng X.
    Ma H.
    Yao D.
    Li H.
    IEEE Transactions on Artificial Intelligence, 2024, 5 (06): : 3174 - 3183
  • [43] Observer-Based Predefined-Time Attitude Control for Spacecraft Subject to Loss of Actuator Effectiveness
    Cao, Teng
    Gong, Huajun
    Han, Bing
    PROCESSES, 2022, 10 (11)
  • [44] Predefined-Time Adaptive Neural-Network-Based Consensus Tracking Control for Nonlinear Multiagent Systems With Zero Tracking Error
    Zhang, Yu
    Niu, Ben
    Zhang, Jia-Ming
    Wang, Xia-Mei
    IEEE ACCESS, 2021, 9 : 132205 - 132214
  • [45] Predefined-time sliding mode control of chaotic systems based on disturbance observer
    Liu Y.
    Huo Y.
    Mathematical Biosciences and Engineering, 2024, 21 (04) : 5032 - 5046
  • [46] Data-Based Output Synchronization of Discrete-Time Heterogeneous Multiagent Systems With Sensor Faults
    Liu, Yingying
    Wang, Zhanshan
    IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (01) : 265 - 272
  • [47] Predefined containment control for general linear multiagent systems with time-varying delays and switching topologies
    Zhou S.
    Hua Y.
    Dong X.
    Li Q.
    Ren Z.
    Advanced Control for Applications: Engineering and Industrial Systems, 2020, 2 (02):
  • [48] Practically Predefined-Time Adaptive Fuzzy Quantized Control for Nonlinear Stochastic Systems With Actuator Dead Zone
    Zhang, Tianliang
    Bai, Rui
    Li, Yongming
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31 (04) : 1240 - 1253
  • [49] Scalable Formation Control for Second-Order Multiagent Systems: An Event-Triggered Predefined-Time Strategy
    Xu, Mengyang
    Chen, Xia
    Hao, Fei
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2025, 55 (02): : 1466 - 1477
  • [50] Predefined-Time Stabilization and Synchronization Adaptive Control for Rossler Systems
    Jiang, Wei
    Tong, Dewen
    Yang, Man
    2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024, 2024, : 2231 - 2236