A new method for global h-stability analysis for discrete-time nonlinear systems with time-varying delays

被引:0
作者
Zhang, Xian [1 ,2 ]
Zhang, Huan [1 ]
Yang, Xiaona [1 ,2 ]
Yu, Tianqiu [1 ,2 ]
机构
[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Heilongjiang, Peoples R China
[2] Heilongjiang Univ, Heilongjiang Prov Key Lab Theory & Computat Comple, Harbin, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
a direct method based on system solutions; discrete-time nonlinear systems; global h-stability; time-varying delays; NEURAL-NETWORKS;
D O I
10.1002/mma.10610
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
n this paper, we characterize the global h-stability of discrete-time nonlinear systems (DTNSs) with time-varying delays. The globalh-stability encompasses several well-known types of stability by using different choices of h functions, such as global exponential stability (ES), Lagrange exponential stability (LES),and asymptotic stability. By exploiting a direct method based on the system solutions, we give a sufficient condition for the global h-stability of the DTNSs in the form of simple inequalities that can be easily handled in MATLAB. Finally, numerical examples are presented to demonstrate the applicability of the method.
引用
收藏
页码:5444 / 5457
页数:14
相关论文
共 40 条
  • [1] A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
    Binh Thai Pham
    Manh Duc Nguyen
    Kien-Trinh Thi Bui
    Prakash, Indra
    Chapi, Kamran
    Dieu Tien Bui
    [J]. CATENA, 2019, 173 : 302 - 311
  • [2] A direct analysis method to global h-stability of delayed time-varying nonlinear positive systems
    Cao, Shuhao
    Xian, Zhang
    Yu, Tianqiu
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (04) : 2767 - 2778
  • [3] Improved Stability Criteria for Discrete-Time Delayed Neural Networks via Novel Lyapunov-Krasovskii Functionals
    Chen, Jun
    Park, Ju H.
    Xu, Shengyuan
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (11) : 11885 - 11892
  • [4] Stability analysis of discrete-time neural networks with an interval-like time-varying delay
    Chen, Jun
    Park, Ju H.
    Xu, Shengyuan
    [J]. NEUROCOMPUTING, 2019, 329 : 248 - 254
  • [5] Chen Q, 2022, COMPUT APPL MATH, V41, DOI 10.1007/s40314-022-01902-6
  • [6] Choi S. K., 2007, Adv. Differ. Equ, V22, P1
  • [7] Variationally stable difference systems by n∞-similarity
    Choi, SK
    Koo, NJ
    [J]. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2000, 249 (02) : 553 - 568
  • [8] Variationally stable difference systems
    Choi, SK
    Koo, NJ
    [J]. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2001, 256 (02) : 587 - 605
  • [9] Global exponential synchronization of discrete-time high-order switched neural networks and its application to multi-channel audio encryption
    Dong, Zeyu
    Wang, Xin
    Zhang, Xian
    Hu, Mengjie
    Dinh, Thach Ngoc
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2023, 47
  • [10] A nonsingular M-matrix-based global exponential stability analysis of higher-order delayed discrete-time Cohen-Grossberg neural networks
    Dong, Zeyu
    Wang, Xin
    Zhang, Xian
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2020, 385 (385)