MPC_ESO

说明：  电力系统负荷预测研究综述与发展方向的探讨(Review of Power System Load Forecasting and the development of)

说明：  使用matlab实现图像的追踪，以把图像分割成不同区域。(Use of matlab for image tracking, to the image into different regions.)

matlab中非线性系统建模与时域均衡技术仿真，信道使用的是Volterra模型。均衡器使用的是2阶Volterra模型。(matlab nonlinear system modeling and simulation time domain equalization, channel using Volterra model. Equalizer using second-order Volterra model.)

说明：  噪声中正弦信号的现代法频谱分析，采用了自相关法、Burg法、协方差法和改进协方差法，并分析了阶数和窗长度对Burg法的影响。(The modern frequency spectrum analysis of sinusoidal signal in noise adopts autocorrelation method, Burg method, covariance method and improved covariance method, and the influence of order and window length on Burg method is analyzed.)

一种变步长LMS的算法，描述了与基本LMS算法的比较，随着迭代次数的增加，变步长的LMS算法达到最优的迭代次数少(A variable step size LMS algorithm, describes the basic LMS algorithm and compare that with the increase in the number of iterations, variable step size LMS algorithm to achieve the optimal number of iterations less)

清华大学出版社出版的科学与工程计算技术丛书/MATLAB GUI程序设计得课件以及源代码(Science and Engineering Computing Technology Series/MATLAB GUI Programming Courseware and Source Code Published by Tsinghua University Press)

《有限单元法及应用》最新2012版。公式推导详尽，matlab符号运算及算法简单易懂，理论介绍与软件应用连接紧密，适合作为非力学专业高年级本科生及研究生教材使用，也可作为有限元应用领域内工程技术人员的参考书。(The latest 2012 edition of the finite element method and its application " . The formula derivation detailed, the Matlab symbolic computation algorithm is simple and easy to understand, the theory describes the software application connections are tight, suitable as a non-mechanical professional senior undergraduate and graduate textbook, and may also be used as a reference book of engineering and technical personnel in the field of finite element applications.)

利用遗传算法，实现机器人轨迹规划，从而便于控制机器人(robot trajectory planing)

用C语言读取sgy格式地震数据用C语言读取sgy格式地震数据用C语言读取sgy格式地震数据(Read format using C language sgy seismic data read format using C language sgy seismic data read sgy format seismic data using C language)

说明：  非常全的matlab源代码，很好很强大很实用(All of the matlab source code is very, very good very strong very practical)