With the objects and attributes defined, you next simulate the world in discrete time steps. 定义了对象和属性后,接下来就可以以离散时间(DT)步长仿真该世界了。
A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non-minimum phase dynamical systems. 针对一类不确定的离散时间(DT)非线性非最小相位动态系统,提出了一种基于神经网络和多模型的直接自适应控制方法。
This paper studies algebraic modeling of discrete time series. 主要研究离散时间(DT)序列上的代数模型。
A deterministic chaotic discrete time dynamical system can be used for random number generator ( RNG ). 基于混沌的随机数发生器采用了离散时问的决定论混沌系统。
The state space expression of the discrete time varying dynamic system is developed firstly. 建立了该离散时变动力学系统的状态空间表达式。