对于复杂的离散时间非线性系统，提出一种基于多模型的广义预测控制方法。
A multiple model based generalized predictive control is provided for complex nonlinear discrete time system.
通过这种方法能比较容易地获得非线性系统对于实激励离散信号或模拟信号的响应时间序列。
By this method, for a real excitation discrete signal or a simulating signal, the response time series of a non-linear system can be easily obtained based on the Z-transform technique.
本文把子结构法、振型迭加法、模态综合法等推广应用于非线性系统，提出分析非线性系统动力响应的离散分量法。
A method for dynamic response analysis of the nonlinear systems is presented. It is the development of the mode-superposition procedure and the modal synthesis method.
讨论隐含离散时间奇异非线性系统的精确线性化问题。
The exact linearization of a class of implicit discrete-time nonlinear singular systems is studied.
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.
其中的SIMULINK工具箱可以模拟线性或非线性、连续或离散或两者的混合系统，对复杂的非线性系统仿真模拟的效果更为明显。
SIMULINK toolbox which can simulate the linear or nonlinear, continuous or discrete, or both of the hybrid systems, nonlinear system of complex simulation of the effect becomes more apparent.
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.
在本文中设计电脑辅助连续非线性系统的离散测量非线性控制问题的解决。
In this paper the problem of designing computer-assisted nonlinear control for continuously nonlinear systems with discrete measurements is addressed.
在本文中设计电脑辅助连续非线性系统的离散测量非线性控制问题的解决。
In this paper the problem of designing computer-assisted nonlinear control for continuously nonlinear systems with discrete measurements is addressed.
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