离散时间细胞神经网络 DTCNN
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研究了离散时间神经网络的全局指数稳定性问题。
In this paper, the global exponential stability of discrete-time neural networks is discussed.
针对多变量非线性离散时间系统设计多模型神经网络解耦控制器。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
本文主要针对离散时间动力系统的动力学性质研究,包括差分方程及离散人工神经网络两个方面的研究。
This dissertation aims at the study of dynamical properties of discrete-time dynamical systems, which include difference equations and discrete neural networks.
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