Cooperatively Dynamic Prescribed Performance Control for Output Synchronization of Networked Nonlinear Systems

被引:0
作者
Peng, Junmin [1 ]
Ji, Yanbao [1 ]
Weng, Zichao [1 ]
Xiao, Shenping [1 ]
机构
[1] Hunan Univ Technol, Coll Elect & Informat Engn, Zhuzhou 412007, Hunan, Peoples R China
来源
IEEE ACCESS | 2024年 / 12卷
基金
中国国家自然科学基金;
关键词
Convergence; Synchronization; Nonlinear systems; Multi-agent systems; Graph theory; Control systems; Event detection; Unknown control direction; cooperatively dynamic prescribed performance control (CDPPC); event-triggered control (ETC); output synchronization; CONSENSUS TRACKING CONTROL; MULTIAGENT SYSTEMS; ADAPTIVE CONSENSUS;
D O I
10.1109/ACCESS.2024.3462804
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 investigates the output synchronization problem for multiple parametric strict feedback (PSF) systems with unknown control directions. Prescribed performance control is employed to simultaneously ensure both transient and steady-state properties through the recursively designed controller. It differs from existing studies primarily in the following aspects: 1) A novel predetermined performance function is devised, which cooperatively adapts with the neighborhood error. 2) The neighborhood error evolves within specified boundaries and ultimately converges to zero. 3) The controller design integrates event-triggered control and its finite-time filter, which reduces the frequency of controller updates the computational loads. 4) The neighbourhood information required for agent i to construct its controller is drastically reduced, i.e., the entire network transmits only $x_{j1}$ and $x_{j2}$ . Consequently, the communication burden on the network is reduced. The proposed controller's efficacy is confirmed through theoretical analysis and numerical simulations.
引用
收藏
页码:140253 / 140261
页数:9
相关论文
共 35 条
  • [1] Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
    Bechlioulis, Charalampos P.
    Rovithakis, George A.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (09) : 2090 - 2099
  • [2] Funnel control of nonlinear systems
    Berger, Thomas
    Ilchmann, Achim
    Ryan, Eugene P.
    [J]. MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2021, 33 (01) : 151 - 194
  • [3] On-line parameter estimation for a class of time-varying continuous systems with bounded disturbances
    Chen, Jie
    Zhang, Guozhu
    Li, Zhiping
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2011, 25 (01) : 18 - 32
  • [4] Adaptive neural tracking control of nonlinear stochastic switched non-lower triangular systems with input saturation
    Cui, Di
    Niu, Ben
    Wang, HuanQing
    Yang, Dong
    [J]. NEUROCOMPUTING, 2019, 364 : 192 - 202
  • [5] Distributed Adaptive Finite-Time Consensus for High-Order Multi-Agent Systems with Intermittent Communications under Switching Topologies
    Fan, Lingling
    Wu, Chengyan
    Ji, Honghai
    [J]. SYMMETRY-BASEL, 2022, 14 (07):
  • [6] Fossen T. I., 2011, Handbook of Marine Craft Hydrodynamics and Motion Control, P167
  • [7] Finite-time H∞ control of switched affine non-linear systems based on the Lie derivative and iteration technique
    Gao, Zairui
    Wang, Yan
    Ji, Zhicheng
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (18) : 3148 - 3154
  • [8] Finite-time integral control for a class of nonlinear planar systems with non-vanishing uncertainties
    Gu, Shanmao
    Qian, Chunjiang
    Zhang, Ni
    [J]. AUTOMATICA, 2022, 136
  • [9] Multi-agent consensus with stopping rules under bounded measurement noise
    Hanada, Kenta
    Wada, Takayuki
    Masubuchi, Izumi
    Asai, Toru
    Fujisaki, Yasumasa
    [J]. ASIAN JOURNAL OF CONTROL, 2023, 25 (02) : 651 - 661
  • [10] Periodic Event-Triggered Control for Linear Systems
    Heemels, W. P. M. H.
    Donkers, M. C. F.
    Teel, Andrew R.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (04) : 847 - 861