MS_SAR_ADC_Sim_ver03_02

给出Henon的模型x(i+1)=1+y(i)-a*x(i)^2 y(i+1)=b*x(i) (Henon model given x (i+ 1) = 1+ Y (i)-a* x (i) ^ 2 y (i+ 1) = b* x (i))

说明：   教学材料包含全套的文件,可以直接用于教学 例题全部代码包含本书全部例题的MATLAB语句 开发函数和使用资源包含作者为本书开发的全套函数. (Teaching materials include a full set of files that can be directly used for teaching examples include all the code book, all examples of MATLAB statements development function and use of resources developed for this book contains a full set of functions.)

用数学软件包MATLAB求解线性规划问题，用数学软件包LINDO、LINGO求解线性规划问题，建模案例：投资的收益与风险.(Solve linear programming problems using the mathematical package MATLAB mathematical software package LINDO, LINGO solve linear programming problems, modeling case: benefits and risks of investment.)

esta es una simulacion de un filtro pasa banda y paso alto muy conveniente para el uso en ingenieria electronica

无网格EFG一维matlab程序 可参见张雄无网格专著(Meshless EFG one-dimensional matlab program can be found in Zhang Xiong meshless monograph)

说明：  To improve the boiler drum level control system of a power plant, the three challenging issues encountered include (1) effect of ‘‘false water level’’, (2) controller parameter mismatches due to variant working conditions and (3) signal noise caused by uncertainties of drum level. In this paper, based on analyses of the drum level signal, an adaptive derivative action is presented to monitor steam flow, and thus, the effect of ‘‘false water level’’ is weakened. The uncertainties of parameter mismatches and noise are predicted by developing a Grey predictor based algorithm (GPBA). In order to resolve the three problems and further control performance, an adaptive technique is combined with the GPBA to develop an adaptive Grey predictor based method. Finally, concrete simulations give that the proposed method has obvious superiority over conventional methods.

using matlab in linear algebra    

PSO_DynamicEnvironment是用粒子群算法（particle swarm algorithm）解决动态环境寻优（最优值不断变化）的问题。文件打开后运行PSO_DynamicEnvironment.m文件即可得到结果，代码中有详细注释，方便修改。运行示例已经保存为图片附在压缩包中。(PSO_DynamicEnvironment solve dynamic environment particle swarm optimization algorithm (particle swarm algorithm) (optimal value changing) problems. Run PSO_DynamicEnvironment.m file to get the file to open the result, the code has detailed notes, easy to modify. Run the sample has been saved as a picture attached to the compressed package.)

double_pendulum simulation in matlab

MATLAB纹理特征提取可实现平均值、标准差、三阶矩，熵、平滑度一致性(MATLAB texture feature extraction)