搜索资源列表
iterative-learning-control-for-MIMO
- 多输入多输出系统,通过迭代学习控制算法,实现精确控制-Multiple input multiple output system, through the iterative learning control algorithm, realize accurate control
ILC_mimo
- 迭代学习控制simulink程序,多输入输出-Iterative learning control simulink program, multi input and output
chap5_2plant
- 在迭代学习控制过程中需要对系统、输入、控制器各个部分分别进行代码编写,本代码主要是对系统进行编码-iterative learning control plant
fuzzy-PD-ILC-for-PMA
- 气动肌肉模糊PD迭代学习控制,能够运行,非常准确-Fuzzy PD-ILC for PMA
ILC-for-multi-agent
- 基于迭代学习控制ILC的多智能体一致性跟踪研究,算法设计-Iterative learning control for multi-agent systems consensus tracking
formation-ilc
- 一种能够实现多智能体稳定编队的迭代学习控制算法-ILC,Multi-agent formation control
ILC-MAGS
- 切换拓扑结构的多智能体系统编队控制算法,未知非线性系统,迭代学习控制算法-An iterative learning approach to formation control of multi-agent systems Switching topology
Iterative-Learning-Control--ILC
- 迭代学习控制 控制数学问题的matlab求解_385-Iterative Learning Control ILC
norm_Optimal-ILC
- 范数优化迭代学习代码,可以运行,效果非常好-norm-optimal iterative learning control
MFAC_ILC
- 无模型自适应迭代学习控制代码实现,可运行。完全根据论文来做的,感觉论文结果有修饰过的嫌疑-model-free adaptive iterative learning control
SMO算法实现
- 使用Matlab重新实现了svm算法中的核心算法SMO,即序列优化问题。 其中my_seqminopt.m是重写的实现代码,完成了核心的迭代优化过程。(MATLAB code of SMO algorithm in SVM algorithm)
kmeans
- 基于k均值的无监督聚类算法,输出有各个样本的类别标签,目标函数在每次迭代后的值,聚类中心以及聚类区间。内有测试数据,点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
GMM
- 高斯混合模型,通过EM算法迭代得出,可用于语音识别,图像识别等各种领域(Gauss mixture model is iteratively obtained by EM algorithm, and can be used in various fields such as speech recognition and image recognition)
repetative
- 用于迭代学习的基础教程,可以很快的进入迭代学习的阵营(The basic tutorial for iterative learning, you can quickly enter the camp of iterative learning)
ILC_openedloop
- 开环节迭代学习,给出一个框架,用于初级者学习(In precision systems that repeatedly execute the same task, iterative learning control (ILC) may be adopted for rejection of iteration-independent repetitive disturbances and improvement of trajectory tracking. However, in pra
how_to_scan_images
- 列举了四种方法扫描图像,分别是利用指针;迭代器;at操作符;和OpenCV自带的LUT方法。比较他们的用时。(how to scan images.copare the cosuming time.)
1stOpt6pjb
- 1stOpt(First Optimization)是世界领先的非线性曲线拟合,综合优化分析计算软件平台。计算核心是基于七维高科有限公司的通用全局优化算法,该算法之最大特点是克服了当今世界上在优化计算领域中使用迭代法必须给出合适初始值的难题,即用户勿需给出参数初始值,而由1stOpt随机给出,通过其独特的全局优化算法,最终找出最优解。(First Optimization is the world's leading nonlinear curve fitting, integrated opt
typ-directed
- 常用算法的C语言实现方法,如迭代法,穷搜法,递推法等等,()
1298539
- 模糊c均值,m值,误差限,迭代次数由用户自己输入,聚类效果好,()
404440
- 混合高斯概率密度模型,其参数估计可以通过期望最大化( EM) 迭代算法获得,()