Finally the iterative algorithm is established for the solution of the constrained nonlinear control system, the corresponding numerical example is given.
最后建立起受约束非线性控制系统求解的迭代算法，并给出相应的数值例题。
The research results show that using iterative learning control algorithm can improve the tracing accurate of the force system.
研究结果表明，采用迭代学习控制算法可以有效地提高力系统的跟随精度。
This paper presents an iterative algorithm of optimal control for discrete time nonlinear systems, according to the differences of the real system and its bilinear model.
针对双线性模型与实际系统之间的差异，提出一种基于双线性模型求解非线性动态系统最优控制的迭代算法。
Theoretical analysis indicates that iterative learning control algorithm is robust if initial shift and System parameter disturbance within limited bound.
理论分析表明，当系统状态初值漂移和系统参数扰动在一定范围内，迭代学习控制算法关于是鲁棒的。
By using PID control, through the iterative learning algorithm, the PID control simulation is realized by using SIMULINK.
采用PID控制，通过迭代学习算法，在SIMULINK下实现了PID控制仿真。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
在神经网络辨识的基础上，提出一种新的鲁棒迭代学习控制方法。
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。
A ground control point based stereo matching algorithm via iterative dynamic programming is proposed.
提出一种基于地面控制点的迭代动态规划立体匹配算法。
The actual output trajectory of the system achieved better convergence to the desired trajectory by using the iterative learning control algorithm.
利用该算法进行学习控制，使系统的实际输出能更好地收敛于系统的理想输出。
The new algorithm is different from the algorithms of iterative learning control proposed recently, and is with nonlinear structure.
这类新算法与目前所有迭代学习控制算法不同，具有非线性结构。
So, a kind of iterative learning control algorithm is given based on confirming comparative degree of X-Y table system, and it is applied to the force control sub-space.
对此，在确定X-Y定位平台系统相对度的基础上提出一种送代学习控制律，并将其应用在力控制部分。
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 conventional complex diffusion algorithm uses the iterative imaginary part(Laplacian of the Gaussian kernel) to control the diffusion process.
图像的复扩散是图像增强的一种有效方法。
The conventional complex diffusion algorithm uses the iterative imaginary part(Laplacian of the Gaussian kernel) to control the diffusion process.
图像的复扩散是图像增强的一种有效方法。
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