In this paper, martingale theory is used in iterative learning control.
本文则将鞅理论应用于迭代学习控制中。
D-type iterative learning control (ILC) law is one of the main laws of ILC.
型迭代学习控制律是迭代学习控制的一种主要学习律。
A discussion is made on the iterative learning control for a class of continuous systems.
对一类连续系统的迭代学习控制问题进行了讨论，提出了一种新的迭代学习控制算法。
Suppose the controlled system is iterative learning control system with random disturbance.
设定被控系统是具有随机干扰的迭代学习控制系统。
In this paper, an optimal iterative learning control scheme for discrete systems is presented.
提出了一类离散系统的最优迭代学习控制方法。
In this paper a PD iterative learning control method for robots with repetitive operation is proposed.
针对具有可重复工作方式的机器人，提出了一种PD迭代学习控制方法。
Robust gradient-type iterative learning control (ILC) was studied for a class of uncertain linear systems.
针对不确定的线性系统，研究鲁棒梯度型迭代学习控制的设计问题。
In this paper, an iterative learning control scheme is proposed for a class of nonlinear uncertain systems.
本文提出一种带饱和限幅的迭代学习控制器设计方法。
For repetitive movements of the objects, iterative learning control is an positive and effective control method.
对于具有重复运动性质的对象，迭代学习控制是一种有效的控制方法。
This paper presents an iterative learning control technique for batch processes based on time varying perturbation models.
为了克服模型与过程间的偏差，提出了一个基于时变偏扰模型的间歇过程迭代学习控制方法。
It can be seen that the multiple-type iterative learning control can be used in high frequency angle-vibration table control.
结论表明这种复合迭代控制器可以应用于高频角振动转台的控制。
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。
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。
The design scheme of the classical D-type iterative learning control law depends on the relative degree of the controlled systems.
传统的D型迭代学习控制的控制律设计方案依赖于被控系统的相对度。
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。
An adaptive robust iterative learning control scheme is developed for a class of uncertain nonlinear systems, including robotics as a subset.
对一类不确定非线性系统，包括不确定性机器人，提出一种自适应鲁棒迭代学习控制方案。
A new iterative learning control (ILC) updating law is proposed for the tracking control of continuous linear system over a finite time interval.
提出了一个新的迭代学习控制(ilc)更新律用于连续线性系统的有限时间区间跟踪控制。
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。
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。
Aiming at dynamic model uncertainties and load disturbances of robot manipulators, an iterative learning control scheme using neural networks is presented.
针对机器人动力学模型的不确定性和负载扰动，提出了一种采用神经网络的机器人迭代学习控制方法。
The iterative learning control is studied for the procedure of industrial process steady state optimization in order to improve the dynamic performance of control systems.
针对具有噪声的工业过程稳态优化进程，提出迭代学习控制以期改善控制系统的动态品质。
In this dissertation, firstly basic knowledge about iterative learning control is introduced, including its history, mathematic description and some common ILC schemes etc.
本文首先对迭代学习控制的一些基本知识进行了简单介绍，包括提出的历史，数学描述以及一些常用迭代学习控制律。
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。
An adaptive iterative learning control approach is proposed for a class of single input, single output uncertain nonlinear systems with completely unknown high frequency learning gain.
针对一类单输入单输出不确定非线性重复跟踪系统，提出一种基于完全未知高频反馈增益的自适应迭代学习控制。
But the learning period of opened-loop iterative learning control is long, and the unstable and high gain phenomena may be taken place during the initial stage of iterative learning control.
开环迭代学习控制学习周期长，在迭代学习的初期容易出现不稳定和高增益的现象。
Iterative learning control is an effective technique for improving the tracking performance of systems that execute the same trajectory motion again and again.
对于完成重复轨迹跟踪任务的系统，迭代学习控制是一种能有效地改进其跟踪性能的技术。
Iterative learning control is one kind of control methodology effectively dealing with repeated tracking control problems or periodic disturbance rejection problems.
迭代学习控制是一种能有效处理重复性跟踪问题或周期性干扰抑制问题的控制方法。
Iterative learning control is applied to the design of excitation controller, and a new method is proposed. The restriction of perfect tracking in limited time span is removed.
将迭代学习控制理论应用于励磁控制器的设计中，提出了一种新的设计方法，克服了迭代学习控制在有限时间区间上实现完全跟踪的限制。
Iterative learning control is a new control technology, which is a branch of intelligent control theory and particularly suitable for a controlled object with a repetitive motion.
迭代学习控制是一种新兴控制技术，它是智能控制理论的一个分支，特别适合于具有重复运动特性的被控对象。
Iterative learning control is a new control technology, which is a branch of intelligent control theory and particularly suitable for a controlled object with a repetitive motion.
迭代学习控制是一种新兴控制技术，它是智能控制理论的一个分支，特别适合于具有重复运动特性的被控对象。
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