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.
一类未知非线性离散系统的直接自适应模糊预测控制方法，通过引入自适应模糊逻辑系统预测控制策略。
A direct adaptive fuzzy predictive control method for a class of unknown nonlinear discrete systems is presented by introducing adaptive fuzzy logic system into the predictive control strategy.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
利用广义李雅普·诺夫方法，研究了广义非线性离散系统，给出了广义非线性离散系统稳定性定理和不稳定性定理。
The method of singular Lyapunov's function is employed to study the singular nonlinear discrete systems, the theorem of stability and the theorem of no stability on it are given.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
本文提出了带有不对称饱和非线性环节的线性离散系统的自适应控制算法，该算法简单易行。
This paper presents an adaptive control algorithm for discrete time linear systems with asymmetric saturation nonlinearity. This algorithm can easily be realized.
本文讨论非线性随机离散系统状态估值问题的测度变换，推得系统的状态对于观测的条件分布律。
We obtain an explicit formulae for the conditional distribution laws of the state of the dynamical system with respect to the observed data.
本虚拟实验室共设计了十个实验，内容涉及线性系统时域分析、线性系统的根轨迹、线性系统频域分析、线性系统串联校正、离散系统分析和非线性系统分析。
The lab has ten experiments, covering time and frequency domain analysis of linear system, root locus and series compensation of linear system, analysis of discrete and nonlinear system.
本虚拟实验室共设计了十个实验，内容涉及线性系统时域分析、线性系统的根轨迹、线性系统频域分析、线性系统串联校正、离散系统分析和非线性系统分析。
The lab has ten experiments, covering time and frequency domain analysis of linear system, root locus and series compensation of linear system, analysis of discrete and nonlinear system.
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