Ch1899

模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵， Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)

此资料为《精通matlab金融计算》一书中的光盘程序程序(This information is " proficient matlab financial calculations," a book of the CD-ROM program program)

MATLAB语言与控制系统仿真,PPT文档 结合所学课程《自动控制原理》，运用MATLAB语言进行控制系统仿真和辅助设计(matlab language and control system design，ppt document。)

美国西部电网3机9节点系统的matlab模型(American Western Power 3 machine 9-bus system matlab model)

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)

随机子空间算法，可代入数据进行模态参数识别(Subspace algorithm, modal parameter identification)

说明：  一个很有参考性的案例，是和自动驾驶相关的MP控制； 说明如何实时更新模型预测控制中的 预测模型的参数， 实现自适应控制。(A very useful case is MP control related to automatic driving. Explains how to update the parameters of predictive models in model predictive control in real time. Adaptive control is realized.)

计算DGGE图谱各泳道间的相似性指数组成相似矩阵，输入参数x为图谱的泳道的亮度（灰度）或者比移值矩阵(DGGE profiles calculated similarity between each lane index composed of similar matrix, the input parameter x for the map of the lanes of the brightness (gray) or Rf value matrix)

说明：  改进的粒子群对图像的codebook快速矢量最优化(Improved the image of the codebook particle swarm optimization Fast Vector)

数字信号处理序列变换的matlab实现，包含常用序列的反褶 平移 差分 尺度变换 卷积 累加 求和等内容(Digital signal processing sequence transform matlab realize, deconvolution translation difference scaling volume contains common sequence plus accumulated sums and other content)