Locally Exponential Stability of Discrete-time Complex Networks with Impulsive Input Saturation

被引：8
|
作者：
Chen, Keyu [1 ,2 ]
Li, Chuandong [3 ]
Li, Liangliang [1 ,4 ,5 ]
机构：
[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China
[2] Natl & Local Joint Engn Lab Intelligent Transmiss, Chongqing, Peoples R China
[3] Southwest Univ, Chongqing Key Lab Nonlinear Circuits & Intelligen, Coll Elect Informat Engn, Chongqing 400715, Peoples R China
[4] Chongqing Three Gorges Univ, Chongqing Key Lab Nonlinear Circuits & Intelligen, Chongqing 404100, Peoples R China
[5] Chongqing Three Gorges Univ, Sch Math & Stat, Chongqing 404100, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2019年 / 17卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Convex analysis; discrete-time complex networks; impulsive control; saturated impulsive input; DIFFERENTIAL-SYSTEMS; STOCHASTIC-SYSTEMS; DYNAMICAL NETWORKS; SYNCHRONIZATION; STABILIZATION; CONSENSUS; DESIGN; DELAYS;
D O I：
10.1007/s12555-018-0608-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the problem of exponential stabilization for a class of discrete-time complex network with saturated impulse input is investigated. Based on the inductive method, convex analysis, and auxiliary matrix, several Lyapunov-type stability criteria are derived for exponential stability of discrete-time complex network with impulsive input saturation. Two examples are also presented to illustrate the effectiveness and the feasibility of the obtained results.
引用
收藏
页码：948 / 956
页数：9
相关论文
共 50 条
  • [1] Locally Exponential Stability of Discrete-time Complex Networks with Impulsive Input Saturation
    Keyu Chen
    Chuandong Li
    Liangliang Li
    International Journal of Control, Automation and Systems, 2019, 17 : 948 - 956
  • [2] Exponential stability of discrete-time delayed neural networks with saturated impulsive control
    He, Zhilong
    Li, Chuandong
    Cao, Zhengran
    Li, Hongfei
    IET CONTROL THEORY AND APPLICATIONS, 2021, 15 (12): : 1628 - 1645
  • [3] Exponential synchronization of impulsive discrete-time complex networks with time-varying delay
    Li, Zhen
    Fang, Jian-an
    Miao, Qingying
    He, Guang
    NEUROCOMPUTING, 2015, 157 : 335 - 343
  • [4] Global exponential stability of impulsive discrete-time neural networks with time-varying delays
    Xu, Honglei
    Chen, Yuanqiang
    Teo, Kok Lay
    APPLIED MATHEMATICS AND COMPUTATION, 2010, 217 (02) : 537 - 544
  • [5] Quasi-exponential input-to-state stability for discrete-time impulsive hybrid systems
    Liu, Bin
    Marquez, H. J.
    INTERNATIONAL JOURNAL OF CONTROL, 2007, 80 (04) : 540 - 554
  • [6] Exponential stability analysis for discrete-time impulsive delay neural networks with and without uncertainty
    Zhang, Yu
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2013, 350 (04): : 737 - 756
  • [7] Exponential stability of impulsive discrete-time systems with infinite delays
    Lin, Yu
    Zhang, Yu
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2018, 49 (16) : 3272 - 3283
  • [8] Impulsive synchronization of discrete-time networked oscillators with partial input saturation
    Li, Zhen
    Fang, Jian-an
    Huang, Tingwen
    Miao, Qingying
    Wang, Huiwei
    INFORMATION SCIENCES, 2018, 422 : 531 - 541
  • [9] Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay
    Sun, Gai
    Zhang, Yu
    NEUROCOMPUTING, 2014, 131 : 323 - 330
  • [10] Robust exponential stability of discrete-time uncertain impulsive neural networks with time-varying delay
    Zhang, Yu
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2012, 35 (11) : 1287 - 1299
12345