Event-triggered control via impulses for exponential stabilization of discrete-time delayed systems and networks

被引:54
|
作者
Liu, Bin [1 ,2 ]
Hill, David J. [2 ]
Sun, Zhijie [3 ]
Huang, Jinxia [1 ]
机构
[1] Hunan Univ Technol, Coll Sci, Zhuzhou, Peoples R China
[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
[3] Univ Southern Calif, Viterbi Sch Engn, Mork Family Dept Chem Engn & Mat Sci, Los Angeles, CA USA
基金
中国国家自然科学基金;
关键词
discrete-time delayed systems (DDS); event-triggered control (ETC); exponential stabilization; impulsive control; time delays; TO-STATE STABILITY; SYNCHRONIZATION; GAIN;
D O I
10.1002/rnc.4450
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 stabilization issue via event-triggered controls (ETCs) for discrete-time delayed systems (DDSs) and networks. Based on the recently proposed ETC scheme for discrete-time systems without time delays, improved ETC (I-ETC) and event-triggered impulsive control (ETIC) are proposed for DDS. The algorithms for ETC, I-ETC, and ETIC are given respectively to derive criteria of exponential stabilization of DDS. Moreover, the exponential stabilization and stabilization to ISS for discrete-time delayed networks is achieved by employing the algorithms of ETC and ETIC. The issue of stabilization via ETCs for dynamical networks where different subsystems have different sequences of event instants is solved by introducing the check-period into ETCs and establishing general ISS estimate of discrete-time delayed inequality. In order to assess the performances of the control schemes, discussions on nontriviality are given by proposing the concept of rate of control and the function of control cost. Finally, two examples with numerical simulations are presented to demonstrate the effectiveness of theoretical results. From the obtained results on stabilization and the simulations, the ETIC is shown to have clear advantages and well performances than the classical state feedback control, the ETC recently proposed, I-ETC, and the time-based impulsive control on aspects of nontriviality, lower rate of control, lower cost of control, and robustness w.r.t. external disturbances.
引用
收藏
页码:1613 / 1638
页数:26
相关论文
共 50 条
  • [31] Adaptive Event-triggered Control for Discrete-time Networked Control Systems with Actuator Faults and Nonlinearity
    Zhang, Luo
    Chen, Mou
    Li, Tao
    Wang, Huijiao
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2020, 18 (11) : 2842 - 2856
  • [32] Input-to-State Stabilization of Nonlinear Systems via Event-Triggered Impulsive Control
    Cao, Menglong
    Ai, Zidong
    Peng, Lianghong
    IEEE ACCESS, 2019, 7 : 118581 - 118585
  • [33] Event-triggered predictive control for linear discrete-time multi-agent systems
    Zhang, Tian -Yong
    Xu, Yong
    Sun, Jian
    NEUROCOMPUTING, 2022, 505 : 238 - 248
  • [34] Periodic event-triggered targeted shape control of Lagrangian systems with discrete-time delays
    Aranda-Escolastico, E.
    Colombo, L. J.
    Guinaldo, M.
    ISA TRANSACTIONS, 2021, 117 : 139 - 149
  • [35] Almost Exponential Stabilization for Stochastic Dynamical Systems under Event-Triggered Impulsive Control
    Liu, Bin
    Zhang, Changfan
    Liu, Dong-Nan
    Huang, Jin-Xia
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 2471 - 2474
  • [36] Event-triggered control for nonlinear systems involving hybrid impulses
    Liu, Haoliang
    Zhang, Taixiang
    Li, Xiaodi
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (12): : 5827 - 5841
  • [37] Event-triggered synchronization of discrete-time neural networks: A switching approach
    Ding, Sanbo
    Wang, Zhanshan
    NEURAL NETWORKS, 2020, 125 : 31 - 40
  • [38] Periodic Event-Triggered Synchronization for Discrete-Time Complex Dynamical Networks
    Ding, Sanbo
    Wang, Zhanshan
    Xie, Xiangpeng
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (08) : 3622 - 3633
  • [39] State Estimation for Discrete-Time Sensor Networks with Event-Triggered Sampling
    Zhao Yuheng
    Fan Chunxia
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 6682 - 6686
  • [40] Event-Triggered Synchronization for Discrete-Time Neural Networks With Unknown Delays
    Rong, Nannan
    Wang, Zhanshan
    Xie, Xiangpeng
    Ding, Sanbo
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (10) : 3296 - 3300