ilc

The design of the ILC algorithm based on an affecting function and its application

基于影响函数的迭代学习算法设计及应用

Studied the convergence of ILC based on the 2-D theory .

基于2-D线性系统理论研究了迭代学习控制的收敛性问题。

Iterative learning control ( ILC ) was used in TCSC control .

基于这样的考虑，尝试将迭代学习控制方法应用到可控串补的控制中。

New ILC Algorithm Corrected with Angle Relationship of Output Vectors

一种带角度修正的迭代学习控制算法

Study on Energy Saving of Air Conditioning System Based on Flexible ILC with Feedback Compensation

基于柔性迭代学习控制和反馈补偿的空调系统节能策略

The problem about DC motor speed tracking based on ILC has been studied .

研究了迭代学习控制应用于直流电动机的速度跟踪问题。

Learning of Organism Rejection of Position Relevant Disturbance Based on ILC

基于迭代学习控制的转台位置相关扰动抑制

The Research of PID-type ILC Based on Network Congestion Control Algorithm and Its Simulation

基于PID型ILC的网络拥塞控制算法研究及其仿真

The Application of a New ILC ( Iterative Learning Control ) Algorithm in the Wind Energy Conversion System

一种新型迭代学习控制算法在风能转换系统中的应用

A closed-loop iterative learning control ( ILC ) law is studied for linear discrete time systems .

针对线性离散系统，研究了闭环动态迭代学习控制律的设计问题。

Meeting the above requirements is a real challenge for the ILC damping ring lattice design .

对于磁聚焦结构的设计来说，同时达到以上要求是一件很有挑战性的工作。

Parameter Choice for International Linear Collider ( ILC )

国际直线对撞机的参数选择（英文）

This paper combines ILC with neural network to put forward ILC intelligent control method based on NN model identification .

本文将迭代控制与神经网络相结合，提出一种基于神经网络模型辨识的迭代学习智能控制方法。

ILC is essentially suitable for plants which confront strong nonlinearity and modeling difficulty .

迭代学习控制本质上适用于具有强非线性、难精确建模的被控对象。

Optimized ILC for Polymerization Reaction Process

聚合反应过程的优化迭代学习控制方法

Compared with the traditional ILC , the requirement onthe nonlinear time-delay functions is relaxed .

与传统的迭代学习控制器相比，本文所提出的自适应迭代学习控制器放松了对非线性时滞函数的限制。

And a new power linearization for piezoelectric actuators based on iterative learning control ( ILC ) is given .

并提出了一种基于迭代自学习控制（ILC）新颖的压电驱动器的电源线性化方法。

The issues of iterative learning controller design and disturbance rejection in ILC are addressed in this paper .

针对不确定线性定常系统，考虑频域迭代学习控制器设计及干扰抑制问题。

This thesis presents ILC controller designs for systems with saturating actuator by lyapunov approach .

本文基于Lyapunov方法，对含饱和执行器的迭代学习控制系统进行了研究。

D-type iterative learning control ( ILC ) law is one of the main laws of ILC .

D型迭代学习控制律是迭代学习控制的一种主要学习律。

Chapter two deals with the existing problems when carrying out ILC and reflects on the current situation of its implementation .

第二章论及语文综合性学习实施中存在的问题，也是对开展语文综合性学习的现状思考。

Your feedback is important , so please be sure that your opinion is expressed to the ILC .

您的回馈相当重要，所以一定要确认您的意见，确实传达到国际领导委员会。

For real-time implementation , all ILC schemes have to be designed in the discrete-time domain .

为便于实时应用，所有迭代学习控制方案的设计必须在离散时间域进行。

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。

A design method of first-order D-type ILC was presented for MIMO nonlinear systems with unknown vector relative degree .

针对具有未知向量相对度多输入多输出非线性系统，提出了一种一阶D型迭代学习控制律的设计方法。

Stability and convergence of PI type ILC are all discussed , based on which the parameter of the controller is designed .

在控制系统稳定和迭代学习算法收敛前提下，讨论了参数设计对系统性能的影响。

Devising iterative learning law is the key to ILC , for further study on it , this article adopts simulation technique .

迭代学习律的设计是迭代学习控制的关键，为进一步研究设计迭代学习律，本文采用了仿真分析的方法。

This paper reviews related works on ILC theory , and try to answer the questions above from a microeconomic view .

本文回顾了产业生命周期（ILC）理论的相关论著，试图从微观角度入手回答上述问题。

The ILC has a strong ability of noise tolerant , it can get a satisfied control result even with a big measurement noise ;

该迭代学习律具有良好的噪声容忍特性，在输出端的测量噪声比较大的情况下，仍能达到比较理想的跟踪效果；

Determination of Na + K + Ions by Single Column ILC in Fish Blood and Its Application in Ecotoxicology

单柱离子色谱法测定鱼血样中的钠钾离子及其在生态毒理学上的应用