Composite hierarchical hybrid anti-disturbance control for Markovian jump systems with event-triggered disturbance

被引:1
|
作者
Yao, Xiuming [1 ]
Wen, Xinyu [2 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Taiyuan Univ Sci & Technol, Sch Elect Informat Engn, Taiyuan 030024, Peoples R China
基金
中国国家自然科学基金;
关键词
Event-triggered disturbance; Markovian jump system; Disturbance observer; Hybrid anti-disturbance control; Multiple disturbances; NONLINEAR-SYSTEMS; COMPENSATION;
D O I
10.1016/j.sysconle.2024.105734
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 addresses the hybrid control for Markovian jump systems subject to multiple disturbances. One disturbance is an energy bounded signal, while the other is an event -triggered sinusoidal disturbance with unknown frequencies and amplitudes. Based on the framework of disturbance observer, we firstly propose novel proportional integral cascaded observers to estimate the unknown sinusoidal disturbance. Then, a disturbance detection (DD) algorithm, isolating the energy -bounded signal from the event -triggered disturbance, is proposed to approximately estimate the appearing and disappearing moments when such disturbance unpredictably occurs based on the output of the proposed observer. A novel hybrid anti -disturbance control algorithm composed of time -triggered control and event -triggered control is subsequently formulated. Finally, a numerical simulation is carried out to prove the effectiveness of the proposed control scheme.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Composite anti-disturbance control for Markovian jump nonlinear systems via disturbance observer
    Yao, Xiuming
    Guo, Lei
    AUTOMATICA, 2013, 49 (08) : 2538 - 2545
  • [2] Event-triggered anti-disturbance tracking control for semi-Markovian jump systems with exogenous disturbances and input saturation
    Zhang, Xiaoli
    Yi, Yang
    Shen, Mouquan
    Wang, Qin
    APPLIED MATHEMATICS AND COMPUTATION, 2022, 424
  • [3] Event-triggered anti-disturbance control for switched singular systems based on the uncertainty and disturbance estimator
    Yang, Anqing
    Ma, Shuping
    IET CONTROL THEORY AND APPLICATIONS, 2024, : 2612 - 2623
  • [4] Composite Anti-disturbance Synchronization Control for Lur’e Systems: An Event-triggered Disturbance Observer-based Design
    Qian, Cheng
    Mao, Shangchun
    Yan, Zhilian
    IAENG International Journal of Applied Mathematics, 2024, 54 (10) : 1960 - 1968
  • [5] Event-Triggered Anti-disturbance Controller Design for Networked Control Systems with Exogenous Disturbances
    Zhou, Peng
    Adnan, Muhammad
    Yi, Yang
    Du, Mingsong
    Zheng, Weixing
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 623 - 627
  • [6] Event-triggered composite anti-disturbance dissipative control for nonlinear systems with multiple noises and quantized inputs via nonlinear disturbance observer
    Wang, Hong-Du
    Liu, Yan
    Karkoub, Mansour
    Li, Ming
    Yuan, Lin
    Quan, Zhao-Yu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (15) : 7152 - 7172
  • [7] Event-triggered anti-disturbance attitude control for rigid spacecrafts with multiple disturbances
    Cao, Songyin
    Guo, Lei
    Ding, Zhengtao
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (02) : 344 - 357
  • [8] Disturbance-observer-based event-triggered control for semi-Markovian jump nonlinear systems
    Yao, Xiuming
    Lian, Yue
    Park, Ju H.
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 363
  • [9] Composite anti-disturbance control for uncertain Markovian jump systems with actuator saturation based disturbance observer and adaptive neural network
    Wei, Yunliang
    Liu, Guo-Ping
    Zong, Guangdeng
    Shen, Hao
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (13): : 6926 - 6945
  • [10] Composite anti-disturbance resilient control for Markovian jump nonlinear systems with general uncertain transition rate
    Guangdeng Zong
    Yankai Li
    Haibin Sun
    Science China Information Sciences, 2019, 62