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精密控制结构需要满足先进飞机的使命和对其引航的要求。这就要求飞行器的性能必须满足在低空飞行，低速飞行和大迎角攻击性飞行，全天候，昼夜工作的条件，并且新的控制技术应该成熟。这项工作提出了飞行控制时，状态变量和控制输入是由预先确定的限制范围内的系统控制系统的设计理念。在设计过程使用动态规划的概念。其基本思想涉及非二次泛函最小化。由于一系列限制因素，建议使用光滑函数。同时提出了该综合方法的优点。我们利用对F-18战斗机的纵向控制配置来说明该设计方法。(Indirect adaptive control for reconfigurable flight control is advocated. Specifically, online static system identification using a moving window/batch estimation is implemented. The ensuing linear regression is augmented with an intercept. The intercept parameter is included to address the effects of trim change associated with the occurrence of a control surface failure. Parameter estimate information is used to adjust the inner loop’s control gains, and a command derived from the intercept estimate is fed forward to automatically retrim the aircraft. The tracking performance of this automatic retrimming method, which relies on system identification, surpasses the conventional approach of exclusively relying on integral action for retrimming. These adaptive and reconfigurable flight control concepts are illustrated in the context of a fighter aircraft’s pitch plane dynamics. The novel adaptive and reconfigurable flight control system successfully handles a 50 per cent horiz)

共有4个MATLAB的实验内容和运用所学习的基本的知识去解决应这些问题。(Comprehensive experiment )

说明：  基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图(Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan)

Brodatz Album 库中任取10幅图像，每幅图分成四小块，得到40幅小图像，取其中一幅小图像，对大图中其余三幅小图进行检索(image retrieval)

Cell simulation of 2 robots (SCARA and RRRR) matlab

核数据分类回归源程序，可用于数据建模或模式识别(Source of nuclear data classification and regression, can be used for data modeling or pattern recognition)

LTE performance thesis

代码汇总了几种不同的MIMO系统中注水算法，适合初学者学习仿真(“Water_Pouring” for water-pouring algorithm)

不知道上次是不是传上去了，再传一个吧，还是数字水印的提取程序(Do not know the last time was not passed up, re-transmission of a bar, or a digital watermark extraction procedure)

此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码(This is an implementation of Compressed Sensing reconstruction for MRI data. It implements the non-linear conjugate sub-gradient algorithm as described in the paper "Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007 Magn Res Med, In Press. )