The robust stability condition of periodic time variant system is derived.
推导了周期时变系统的鲁棒稳定性条件。
Aimed at the problem of iterative learning control for nonlinear discrete time-variant system, the improved iterative learning control algorithm is given.
针对非线性离散时变系统的迭代学习控制问题，提出了一种改进的迭代学习控制算法。
The macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
They have superiority in the uncertain model and non-linear system and time variant system control, due mostly to their being independent of precise mathematical model.
对于模型未知的复杂非线性系统或是动态特性常变的控制对象，两者的不依赖精确数学模型的控制特性具有无可比拟的优势。
Then, aimed at the problem of iterative learning control for nonlinear discrete time-variant system, the improved iterative learning control algorithm was given in the paper.
然后，文章针对非线性离散时变系统的迭代学习控制问题，提出了一种改进的迭代学习控制算法。
This paper presents the time domain analysis of three orders discrete system by power series, which can study not only the time invariant system, but also the time variant system.
利用幂级数的方法，对三阶线性离散系统进行时域分析，其方法不仅可以研究线性非时变离散系统，而且还可以研究线性时变离散系统。
Unlike the monostatic system, the BISAR is in general azimuth-variant system as both the transmitter and the receiver move along different motion trajectories with unequal velocities.
与单站SAR不同，一般情况下由于双站平台的速度矢量不同，双站SAR的回波信号是方位平移可变的。
Unlike the monostatic system, the BISAR is in general azimuth-variant system as both the transmitter and the receiver move along different motion trajectories with unequal velocities.
与单站SAR不同，一般情况下由于双站平台的速度矢量不同，双站SAR的回波信号是方位平移可变的。
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