首先，论文完成了一大类非线性离散系统模糊控制器和观测器的设计。
First, based on fuzzy dynamic state space model, the fuzzy controller and observer are designed for the nonlinear discrete systems.
利用时变反馈神经网络的概念及二维线性系统理论给出了非线性离散系统的一种实时建模方法。
A real time modeling approach for nonlinear discrete time system is presented by using the concept of time variant recurrent neural network and the theory of two dimensional system.
对F1型非线性离散系统进行了分析研究，求出了该类系统零输入响应和非零输入响应的闭合型式解。
In this paper, F1 nonlinear discrete system is analyzed and studied, the enclosed solutions of zero input response and nonzero input response are obtained.
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