Stability analysis of fractional Quaternion-Valued Leaky Integrator Echo State Neural Networks with multiple time-varying delays

被引:28
|
作者
Pahnehkolaei, Seyed Mehdi Abedi [1 ]
Alfi, Alireza [1 ]
Tenreiro Machado, J. A. [2 ]
机构
[1] Shahrood Univ Technol, Fac Elect & Robot Engn, Shahrood 3619995161, Iran
[2] Polytech Porto, Inst Engn, Dept Elect Engn, Rua Dr Antonio Bernardino de Almeida 431, P-4249015 Porto, Portugal
关键词
Fractional calculus; Quaternion-Valued Neural Network; Echo State Neural Network; Time-VARYING Delay; Stability; GLOBAL ASYMPTOTIC STABILITY; EXPONENTIAL STABILITY; UNIFORM STABILITY; ROBUST STABILITY; SYNCHRONIZATION; CLASSIFICATION; OPTIMIZATION; PREDICTION; DYNAMICS; SYSTEMS;
D O I
10.1016/j.neucom.2018.11.021
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies the stability problem of fractional order continuous-time Quaternion-Valued Leaky Integrator Echo State Neural Networks (NN) with multiple time-varying delays. The NN is decomposed into four real-valued systems without considering the non-commutativity of quaternion multiplication resulting in Hamilton rules. Then, the delay-independent stability analysis of the NN equilibrium point with Lipschitz continuous activation function is derived in the real space. The existence and uniqueness of the equilibrium point are also given using the contraction map in the real space. Simulations results show the feasibility of the method. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:388 / 402
页数:15
相关论文
共 50 条
  • [1] Multiple asymptotic stability of fractional-order quaternion-valued neural networks with time-varying delays
    Wu, Zhongwen
    NEUROCOMPUTING, 2021, 448 : 301 - 312
  • [2] Multiple μ-stability analysis of time-varying delayed quaternion-valued neural networks
    Chouhan, Shiv Shankar
    Das, Subir
    Singh, Sunny
    Shen, Hao
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (09) : 9853 - 9875
  • [3] Global μ-stability of quaternion-valued neural networks with mixed time-varying delays
    You, Xingxing
    Song, Qiankun
    Liang, Jing
    Liu, Yurong
    Alsaadi, Fuad E.
    NEUROCOMPUTING, 2018, 290 : 12 - 25
  • [4] Delay independent robust stability analysis of delayed fractional quaternion-valued leaky integrator echo state neural networks with QUAD condition
    Pahnehkolaei, Seyed Mehdi Abedi
    Alfi, Alireza
    Machado, J. A. Tenreiro
    APPLIED MATHEMATICS AND COMPUTATION, 2019, 359 : 278 - 293
  • [5] Global μ-Stability of Quaternion-Valued Neural Networks With Unbounded and Asynchronous Time-Varying Delays
    Liu, Xiwei
    Li, Zhonghua
    IEEE ACCESS, 2019, 7 : 9128 - 9141
  • [6] Global exponential stability for quaternion-valued recurrent neural networks with time-varying delays
    Yang Liu
    Dandan Zhang
    Jianquan Lu
    Nonlinear Dynamics, 2017, 87 : 553 - 565
  • [7] Global exponential stability for quaternion-valued recurrent neural networks with time-varying delays
    Liu, Yang
    Zhang, Dandan
    Lu, Jianquan
    NONLINEAR DYNAMICS, 2017, 87 (01) : 553 - 565
  • [8] Global μ-stability criteria for quaternion-valued neural networks with unbounded time-varying delays
    Liu, Yang
    Zhang, Dandan
    Lu, Jianquan
    Cao, Jinde
    INFORMATION SCIENCES, 2016, 360 : 273 - 288
  • [9] Global μ-stability of quaternion-valued neural networks with non-differentiable time-varying delays
    Shu, Hanqi
    Song, Qiankun
    Liu, Yurong
    Zhao, Zhenjiang
    Alsaadi, Fuad E.
    NEUROCOMPUTING, 2017, 247 : 202 - 212
  • [10] Proportional-Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays
    Tan, Guoqiang
    Wang, Zhanshan
    Shi, Zhan
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (02) : 1074 - 1079