Delay-dependent stability analysis of the QUAD vector field fractional order quaternion-valued memristive uncertain neutral type leaky integrator echo state neural networks

被引:47
作者
Pahnehkolaei, Seyed Mehdi Abedi [1 ]
Alfi, Alireza [1 ]
Machado, J. A. Tenreiro [2 ]
机构
[1] Shahrood Univ Technol, Fac Elect & Robot Engn, Shahrood 3619995161, Iran
[2] Polytech Porto, Dept Elect Engn, Inst Engn, Rua Dr Antonio Bernardino Almeida 431, P-4249015 Porto, Portugal
关键词
Fractional-order systems; Memristor-based neural networks; Quaternion-valued neural networks; Neutral type neural networks; Linear matrix inequality; Delay-dependent stability; FINITE-TIME SYNCHRONIZATION; ROBUST STABILITY; UNIFORM STABILITY; LMI CONDITIONS; SYSTEMS; STABILIZATION; CLASSIFICATION; FEEDBACK;
D O I
10.1016/j.neunet.2019.05.015
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 robust stability analysis for a class of memristive-based neural networks (NN). The NN consists of a fractional order neutral type quaternion-valued leaky integrator echo state with parameter uncertainties and time-varying delays. First, the quaternion-valued leaky integrator echo state NN with QUAD vector field activation function is transformed into a real-valued system using a linear mapping function. Then, the Lyapunov-Krasovskii functional is adopted to derive the sufficient conditions on the existence and uniqueness of Filippov solution of the NN equilibrium point. The delay-dependent robust stability analysis of such NN is provided with the help of linear matrix inequality technique. Finally, the theoretical results are validated by means of a numerical example. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:307 / 327
页数:21
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