带有时滞的Clifford值神经网络的全局指数稳定性
Year: 2017
Type: article
Abstract: The global exponential stability of Clifford-valued recurrent neural networks (RNNs) with both asynchronous time-varying and continuously distributed delays was studied. First, the existence and uniqueness of the equilibrium points of delayed Clifford-valued RNNs were proved with the inequality technique and the M-matrix properties. Then, based on the mathematical analysis method, some determinant conditions ensuring the global exponential stability of such systems were obtained. The simulation results of a numerical example substantiate the effectiveness of the theoretical analysis.
Source: 应用数学和力学
Authors: 舒含奇, SHU Han-qi, 宋乾坤, SONG Qian-kun
Language: Chinese
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2613502599