Delay independent robust stability analysis of delayed fractional quaternion-valued leaky integrator echo state neural networks with QUAD condition

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摘要

This paper studies the stability of fractional order (FO) continuous-time quaternion-valued Leaky Integrator Echo State Neural Networks (NN). The delay independent robust stability of NN with QUAD vector field activation functions under time varying delays is derived. The analysis follows the FO Lyapunov theorem while decomposing the NN into four real-valued systems. The existence and uniqueness of the equilibrium point are also verified by means of a contraction map on the decomposed NN. The new approach is tested in the stability analysis of the FO quaternion-valued Echo State NN whitout time delays, complex-valued Echo State and quaternion-/complex-valued Hopfield NN with/without time delays. Two numerical examples demonstrate the feasibility of the proposed method.

论文关键词:Fractional calculus,Quaternion-valued neural network,Integrator echo state neural network,Stability,Time delay

论文评审过程:Received 19 October 2018, Revised 23 April 2019, Accepted 29 April 2019, Available online 13 May 2019, Version of Record 13 May 2019.

论文官网地址:https://doi.org/10.1016/j.amc.2019.04.083