A Novel Event-triggered Practical Prescribed-Time Control for four Complex coupled Duffing-type MEMS resonators with Prescribed Performance

被引:0
|
作者
Song, Yankui [1 ]
Tuo, Yaoyao [1 ]
Lin, Xinxin [2 ]
机构
[1] Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
[2] College of Mechanical Engineering, Chongqing University, Chongqing, 400044, China
关键词
Microchannels;
D O I
10.1016/j.neunet.2024.106935
中图分类号
学科分类号
摘要
This paper explores the dynamic characteristics and a novel event-triggered practical prescribed-time controller for four complex coupled Duffing-type MEMS resonators. Initially, the effects of mechanical coupling stiffness, electrostatic coupling stiffness, and internal system parameters on the system's dynamic behavior are examined. The analysis results provide guidance for selecting system parameters. Furthermore, the dynamic analysis reveals that chaotic oscillations may occur in the system without input, significantly affecting system performance. To mitigate these chaotic oscillations, a novel event-triggered practical prescribed-time controller with prescribed performance is proposed, utilizing interval type-3 fuzzy system (IT3FS) to estimate unknown nonlinear functions. By employing a more relaxed practical prescribed-time stability (PPTS) criterion and a novel time-varying scale transformation function (STF), the designed controller ensures that all signals converge within a prescribed time. Additionally, a prescribed performance function (PPF) is employed, allowing for more flexible convergence boundary settings. A dynamic event-triggered mechanism is implemented to reduce the frequency of control signal updates. The stability analysis demonstrates that all signals converge within a prescribed time, and the tracking errors remain within their prescribed boundary. Finally, simulations validate the effectiveness of the proposed scheme. © 2024
引用
收藏
相关论文
共 50 条
  • [1] Dynamical analysis and event-triggered adaptive finite-time prescribed performance control of the FO coupled MEMS resonators
    Tuo, Yaoyao
    Song, Yankui
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 255
  • [2] Practical Prescribed-Time Stabilization of a Class of Nonlinear Systems by Event-Triggered and Self-Triggered Control
    Zhang, Kai
    Zhou, Bin
    Hou, Mingzhe
    Duan, Guang-Ren
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (05) : 3426 - 3433
  • [3] Chain tethered satellite formation reconfiguration: An event-triggered practical prescribed-time control approach
    Li, Qinwen
    Meng, Zhongjie
    Jia, Cheng
    ACTA ASTRONAUTICA, 2024, 224 : 436 - 444
  • [4] Prescribed-Time Control of Switched Systems: An Event-Triggered Impulsive Control Approach
    Zhang, Taixiang
    Cao, Jinde
    Li, Xiaodi
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (07): : 4284 - 4293
  • [5] Event-Triggered Output Feedback Control for MEMS Gyroscope With Prescribed Performance
    Shi, Yi
    Shao, Xingling
    Yang, Wei
    Zhang, Wendong
    IEEE ACCESS, 2020, 8 : 26293 - 26303
  • [6] Event-Triggered Prescribed-Time Tracking Control for Nonlinear Systems With Asynchronous Switching
    Shu, Feng
    Zhai, Junyong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2023, 70 (10) : 4159 - 4168
  • [7] Event-Triggered Control for Nonlinear Uncertain Systems via a Prescribed-Time Approach
    Ning, Pengju
    Hua, Changchun
    Li, Kuo
    Meng, Rui
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (11) : 6975 - 6981
  • [8] Prescribed-Time Event-Triggered Bipartite Consensus of Multiagent Systems
    Chen, Xia
    Yu, Hao
    Hao, Fei
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (04) : 2589 - 2598
  • [9] Practical Prescribed-Time Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems
    Zang, Jianpeng
    Chen, Xia
    IEEE ACCESS, 2020, 8 : 199664 - 199672
  • [10] Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach
    Wang, Ziwei
    Lam, Hak-Keung
    Guo, Yao
    Xiao, Bo
    Li, Yanan
    Su, Xiaojie
    Yeatman, Eric M.
    Burdet, Etienne
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (06) : 3625 - 3632